Aoshima Makoto 青嶋誠

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AOSHIMA Makoto 青嶋誠

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Researcher Number	90246679
Other IDs
External Links
Affiliation (Current)	2025: 筑波大学, 数理物質系, 教授
Affiliation (based on the past Project Information) *help	2011 – 2025: 筑波大学, 数理物質系, 教授 2011: 筑波大学, 数理物質科学研究科(系), 教授 2010: 筑波大学, 数理物質科学研究科, 教授 2007 – 2010: University of Tsukuba, 大学院・数理物質科学研究科, 教授 2007 – 2008: 筑波大学, 数理物質科学研究科, 教授 … More 2004 – 2006: 筑波大学, 大学院・数理物質科学研究科, 助教授 1999 – 2005: 筑波大学, 数学系, 助教授 1996 – 1998: 東京学芸大学, 教育学部, 助教授 1995: 東京学芸大学, 教育学部, 講師 1994: 東京学芸大学, 教育学部(第三部), 講師 1993: 東京理科大学, 理学部, 助手 Less
Review Section/Research Field	Principal Investigator Statistical science / Medium-sized Section 60:Information science, computer engineering, and related fields / Statistical science / Statistical science / Information science, computer engineering, and related fields Except Principal Investigator Statistical science / General mathematics (including Probability theory/Statistical mathematics) / Basic Section 60030:Statistical science-related / Statistical science / General mathematics (including Probability theory/Statistical mathematics) / Basic Section 12040:Applied mathematics and statistics-related / Broad Section J / Statistical science
Keywords	Principal Investigator 判別分析 / 逐次解析 / 高次元データ / 多変量解析 / 漸近有効性 / 多重比較 / 標本数 / 二段階抽出法 / 異常値 / クラスター分析 … More / 高次元小標本 / 主成分分析 / 共分散構造 / 漸近最適性 / 頑健性 / 深層学習 / 高次元統計解析 / ビッグデータ / クロスデータ行列法 / 標本数決定 / マイクロアレイデータ / 高次元漸近理論 / 次元の呪い / マイクロアレイ / パターン認識 / 漸近理論 / 有界リスク / 対数正規分布 / 母集団選択 / 二母数指数分布 / 巨大データ / データ圧縮 / 時空間データ / 個別化医療 / クラスタリング / 次世代シーケンサー / 天体スペクトル / 個別化モデリング / 超高次元データ / ディープラーニング / 人工知能 / スパイクノイズ / 非スパースモデリング / ゲノム / 統計数学 / データサイエンス / 非正則推定論 / 欠損値 / 潜在構造分析 / 情報量規準 / 逆行列 / 回帰分析 / 非ガウス / 高次モーメント / 情報量 / 変数選択 / HDLSS / 漸近正規性 / 多重検定 / パスウェイ解析 / グラフィカルモデル / 相関検定 / 幾何学的表現 / ネットワーク / ノイズ掃き出し法 / 高次元データ解析 / 情報不等式 / 逐次区間推定 / ランダム行列 / ベイズ法 / 領域推定 / 多変量データ解析 / 次元縮約 / 次元推定 / 固有値問題 / 統計科学 / 混合正規分布 / ダイバージェンス / モデル選択基準 / 生体生命情報学 / ノイズ / モデル選択 / 機械学習 / 高次漸近一致性 / 高次漸近有効性 / 因子分析 / 独立成分分析 / 誤差評価 / 漸近一致性 / 2次漸近有効性 / 二段階推定 / 高次元 / 非正規性 / 信頼領域 / 二段階標本抽出 / Behrens・Fisher問題 / 多項分布 / 漸近展開 / 多群判別問題 / 楕円分布 / 級内相関モデル … More Except Principal Investigator クラスタリング / 統計科学 / 検定 / 統計量 / 情報量 / 推定 / 最尤推定量 / 時系列解析 / 実験計画 / 分類 / 切断指数型分布族 / 漸近損失 / 極値統計量 / 多変量解析 / リスク / 指数型分布族 / ベイズ推定量 / 高次元クラスタリング / 高次元PCA / 高次元統計解析 / 高次計量 / Data Fusion / HDLSS Data / Fuzzy Clustering Models / Scales of Clusters / Fuzzy Clustering / FDR / MCP / Experimental design / 量子推定 / Combinatorics / Sequential analysis / 統計的モデル / 画像解析 / 逐次推定 / ベイズ法 / 組合せ理論 / 数理ファイナンス / 逐次解析 / 尺度構成 / ビックデータ / 遺伝子データ / ファジィクラスタリング / データマイニング / 高次元小標本データ / 漸近分散 / 最尤推定 / 切断分布族 / 切断分布 / 一様最小分散不偏推定量 / 完備十分統計量 / 正則条件 / 推定量 / 一般化情報量 / 漸近有効性 / 医学統計 / 計量ファイナンス / 統計的漸近理論 / 統計推測 / 母数空間 / 仮説検定 / 回帰モデル / ミニマックス / 計算知能 / 人工知能 / 判別分析 / 高次元非線形PCA / 高次元幾何的表現 / 客観的総合指数 / 高次元漸近理論 / 異常値検出 / 高次元天文データ / 高次元k-means / Convex Clustering / Multidimensional scaling / Convex clustering / Multidimensional Scaling / Deep Learning / Support Vector Machine / PCA / 切断ｔ分布 / ２次の漸近損失 / ２次の漸近分散 / ２次の漸近平均 / パレート分布 / 有効推定量 / 集中確率 / 中央値不偏推定量 / 切断母数 / 局外母数 / 高次元データ解析 / 統計リスク解析 / 時系列、空間統計解析 / パーシステントランドスケープ / 判別解析 / ２値系列 / 因果性検定 / 時空間過程の統計解析 / 最適統計推測 / LAN理論 / p-次ノルム予測 / 局所尤度解析 / ２値過程 / 時系列分散分析 / 金融ファイナンス / 時空間確率過程 / Min-Max 推定量 / 局所漸近正規性 / 経験尤度 / 安定過程 / 因果性 / 方向データ / 機械学習 / 循環性仮定 / 従属誤差 / 分散分析 / 局所定常過程 / 位相データ解析 / 金融データ解析 / 球面分布 / 円周分布 / 強スパイク固有値 / 因果性解析 / 秘匿データ分析 / 時系列予測 / 因果性分析 / 高次漸近理論 / 高次元スパースPCA / 高次元共分散行列 / 高次元統計的推測 / データ変換法 / 高次元カーネルSVM / 高次元バイアス項 / 高次元スパース推測 / 高次元2次判別方式 / 高次元カーネルPCA / 高次元統計的検定 / 高次元判別分析 / 高次バイアス補正 / Big Data Analysis / Geometrical Data / Categorical Data / Regression Analysis / 漸近損失量 / 漸近平均 / 欠損性 / Bayes 推定量 / Bayes推定量 / Large-scale Data / Image Analysis / Euler Characteristic / Smoothing / Gaussian Random Field / Isotonic Regression / 動作分析 / 動画像 / 関数データ解析 / 同時推測 / ランダムフィールド / 多重比較 / 大規模データ / 画像分析 / オイラー標数法 / スムージング / 正規確率場 / アイソトニック回帰 / Quantum mechanics / Combinatorial theory / Sequential estimation / Quantum information geometry / Quantum test / Quantum estimation / ゲノムデータ解析 / バイオスタティスティクス / デザイン理論 / 混合モデル / 量子エンタングルメント / 量子情報 / 分割表 / 統計的検定 / 統計的推定 / 因子分析 / 情報不等式 / 確率過程 / 量子統計 / 最尤法 / ロバスト法 / 量子力学 / 組合せ論 / 量子情報幾何 / 量子検定 / Galton-Watson trees / branching processes / spectral statistics / random Schrodinger operators / 分岐過程 / ランダム行列 / 量子カオス / エネルギー準位統計 / ランダムなシュレーディンガー作用素 / ゴルトン-ワトソン樹形図 / 分枝過程 / スペクトル統計 / ランダムシュレーディンガー作用素 / Bayesian method / Bootstrap / Risk / Maximum likelihood estimator / Testing hypothesis / Interval estimation / 効率 / マックスミン計画 / 最適計画 / 直交表 / 飽和型直交配列 / 多重比較法 / 逐次標本抽出計画 / 量子ガウス状態 / 被覆確率 / 枢軸法 / 区間予測 / 最大推定量 / ベイズ解 / p値 / 回帰係数 / ラテン方格 / 識別アルゴリズム / 符号理論 / グラフ理論 / 離散数学 / 配置の理論 / 実験的計画法 / ブートストラップ / 区間推定 / Mathematical finance / Time series / Multivariate analysis / Information amount / Test / Estimator / 逐次推測 / ベイズ推測 / モデル選択 / 空間データ / 統計的モデリング / 有限標本論 / 非正則モデル / 特異モデル / 金融 / ノンパラメトリック推測 / 非正規性 / 計算機支援型推測 / 時系列 / 多次元尺度構成法 / 可視化手法 / クラスター尺度 / 多次元尺度 / 確率分布 / 分布 / 標本空間 / 統計的推測 / 主成分分析 / シンボリックデータ解析 / クラスター間相関 / 類似性 / シンボリックデータ / パターン認識 / 漸近正規性 / 検定方式 / 推定方式 / 漸近十分性 / 漸近集中確率 / 荷重推定量 / 位置共変推定 / 位置母数 / 非正則分布 / 漸近展開 / 有効性 / スコア / 収束半径 / 分散 / 完備性 / 十分性 / 不偏性 / Edgewoth展開 / マルコフ連鎖 / Edgworth展開 / 漸近補助統計量 / 情報量損失 / Cornish-Fisher展開 / Bernoulli分布 / 非心分布 / 一致性 / 臨床統計 / 生物統計 / 計算機統計学 / 大偏差原理 / 非母数解析 / 順位統計量 / 金融工学 / 経験尤度解析 / 確率解析 / 統計解析 / 非対称分布 / 非母数統計解析 / 漸近最適性 / 金融時系列 / 信頼域 / 決定方式 / 多重決定 / 信頼区間 / 枢軸量 / 補助統計量 / 共変性 / 損失 / 位置尺度母数 / マックス検定 / 尤度比検定 / Neyman-Scott検定 / 分散安定変換 / 荷重関数 / Fisher情報量 / 選択モデル / 薬効試験 / 正規試行 / リグレット / 成功率 / 2項試行 / 割り当て実験 / 薬効実験 Less

大規模複雑データの理論と方法論の深化と展開Principal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2025 – 2029
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Artificial intelligence based nonlinear high-dimensional small sample size data analysis and its social applications
- Principal Investigator
  
  イリチュ美佳 (佐藤美佳)
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  University of Tsukuba
非線形特徴量に基づく新たな高次元統計理論の開発とその応用
- Principal Investigator
  
  矢田和善
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  University of Tsukuba
Developments of statistical compression technology for massive data having tensor structuresPrincipal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Analysis of 3-Way Time Series High-Dimension Low-Sample Size Data and Its Applications
- Principal Investigator
  
  イリチュ美佳 (佐藤美佳)
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  University of Tsukuba
Innovative Developments of Theories and Methodologies for Large Complex DataPrincipal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
Research on Bayes inference in non-regular models in a wide sense
- Principal Investigator
  
  Akahira Masafumi
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  University of Tsukuba
Tackling individualized modeling with ultra-high dimensional dataPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
New developments for high-dimensional higher-order asymptotics and its applications
- Principal Investigator
  
  YATA KAZUYOSHI
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  University of Tsukuba
Introduction of general causality to various observations and the innovation for its optimal statistical inference
- Principal Investigator
  
  Taniguchi Masanobu
- Project Period (FY)
  2018 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (S)
- Review Section
  
  Broad Section J
- Research Institution
  Waseda University
High-Dimension Low-Sample-Size Big Data Analysis by Higher Order Metrics
- Principal Investigator
  
  Sato-Ilic Mika
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
New developments for big data by non-sparse modelingPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Research Field
  
  Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba
The clarification of hierarchical structure of statistical deficiency
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  2015 – 2017
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Theories and Methodologies for Large Complex DataPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2015 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Big data analytics by multidimensional cluster scaling and its social applications
- Principal Investigator
  
  SATO-ILIC Mika
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Statistics for Big Data: Development of Theories and Tackling the 3VsPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
New Development of Statistical Experiment and Its Applications
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  2012 – 2014
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
The clarification of non-regular structure in statistical inference and its applications
- Principal Investigator
  
  Akahira Masafumi
- Project Period (FY)
  2011 – 2015
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  University of Tsukuba
Development of clusterwise methods for high dimensional symbolic data and its applications
- Principal Investigator
  
  SATO-ILIC Mika
- Project Period (FY)
  2011 – 2013
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
New Developments of Multivariate Statistical Methodologies - High Speed, Robustness, and High AccuracyPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2011 – 2013
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Theories and Methodologies for High-Dimensional Data AnalysisPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2010 – 2014
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
The clarification of the structure of the inverse problem in statistics and its applications
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  2009 – 2011
- Research Category
  
  Grant-in-Aid for Challenging Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Theory and Applications for Mathematical Methods in Statistical Science
- Principal Investigator
  
  TANIGUCHI Masanobu
- Project Period (FY)
  2007 – 2010
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  Waseda University
Theory of the foundation of mathematical statistics to analyze the biological information and its applications
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  2007 – 2010
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  University of Tsukuba
MATHEMATICAL STATISTICS FOR DATA ANALYSIS IN HIGH DIMENSION, LOW SAMPLE SIZE CONTEXT AND ITS APPLICATIONSPrincipal Investigator
- Principal Investigator
  
  AOSHIMA Makoto
- Project Period (FY)
  2006 – 2009
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
統計的検定論を超える新しい決定論的アプローチの試み
- Principal Investigator
  
  赤平昌文
- Project Period (FY)
  2004 – 2006
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
高次元データ解析の数理統計学的基礎とその応用Principal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2004 – 2005
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Study on the theories and the applications of multivariate simultaneous statistical issues
- Principal Investigator
  
  KAMAKURA Toshinari
- Project Period (FY)
  2003 – 2005
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  Statistical science
- Research Institution
  Chuo University
The Foundation of Mathematical Statistics on Quantum Inference and Its Applications
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  2002 – 2005
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  University of Tsukuba
逐次情報集約型実験における統計的理論の構築とその応用
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  2001 – 2002
- Research Category
  
  Grant-in-Aid for Exploratory Research
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
Study of the mathematical foundation of energy level statistics.
- Principal Investigator
  
  MINAMI Nariyuki
- Project Period (FY)
  2001 – 2002
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  University of Tsukuba
Developments of Accurate Estimation Procedures in the Statistical Region Estimation and Attempt of Practicability
- Principal Investigator
  
  AKIHIRA Masafumi
- Project Period (FY)
  2000 – 2003
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  University of Tsukuba
二段階抽出法の高次漸近有効性と多群判別問題への応用および非正規分布への拡張Principal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  1999 – 2000
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  University of Tsukuba
二段階抽出法の漸近最適性と多群判別問題への応用および非正規分布への拡張Principal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  1998 – 1999
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo Gakugei University
Researches on the Non-Regular Inference Theory and the Concepts of the Amounts of Information
- Principal Investigator
  
  AKAHIRA Masafumi
- Project Period (FY)
  1998 – 2001
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Research Field
  
  General mathematics (including Probability theory/Statistical mathematics)
- Research Institution
  University of Tsukuba
二段階抽出法の漸近最適性と多群判別問題への応用および非正規分布への一般化Principal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  1996
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo Gakugei University
二段階抽出法の漸近有効性と多群判別問題への応用および非正規分布への拡張についてPrincipal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  1995
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo Gakugei University
二段階抽出法の漸近的性質と多群判別問題への応用およびその頑健性についてPrincipal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  1994
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo Gakugei University
多変量二段階抽出法における多重比較と多群判別問題への応用およびその頑健性についてPrincipal Investigator
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  1993
- Research Category
  
  Grant-in-Aid for Encouragement of Young Scientists (A)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo University of Science

[Book] 高次元の統計学2019
- Author(s)
  青嶋誠、矢田和善
- Total Pages
  120
- Publisher
  共立出版
- ISBN
  9784320112636
- Data Source
  KAKENHI-PROJECT-15H01678
[Book] 高次元の統計学2019
- Author(s)
  青嶋誠，矢田和善
- Total Pages
  120
- Publisher
  共立出版
- ISBN
  9784320112636
- Data Source
  KAKENHI-PROJECT-18K03409
[Book] 高次元の統計学2019
- Author(s)
  青嶋誠、矢田和善
- Total Pages
  120
- Publisher
  共立出版
- ISBN
  4320112636
- Data Source
  KAKENHI-PROJECT-19K22837
[Book] 高次元の統計学2019
- Author(s)
  青嶋　誠，矢田和善
- Publisher
  共立出版
- ISBN
  9784320112636
- Data Source
  KAKENHI-PROJECT-18H05290
[Book] 高次元の統計学2019
- Author(s)
  青嶋誠、矢田和善
- Total Pages
  120
- Publisher
  共立出版
- ISBN
  9784320112636
- Data Source
  KAKENHI-PROJECT-17K19956
[Book] Chapter 2 : Effective Methodologies for Statistical Inference on Microarray Studies, Prostate Cancer-From Bench to Bedside(Philippe E. Spiess (Ed.))2011
- Author(s)
  Aoshima, M.
- Total Pages
  516
- Publisher
  InTech
- Data Source
  KAKENHI-PROJECT-22300094
[Book] 知識ベース : 電子情報通信基礎2010
- Author(s)
  青嶋誠, 他
- Publisher
  電子情報通信学会(印刷中)
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] Automatic Sparse PCA for High-Dimensional Data2025
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Statistica Sinica
  
  Volume: 35
- DOI
  10.5705/ss.202022.0319
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-20H00576
[Journal Article] High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 2532024
- Author(s)
  Takeuchi Tsutomu T.、Yata Kazuyoshi、Egashira Kento、Aoshima Makoto、Ishii Aki、Cooray Suchetha、Nakanishi Kouichiro、Kohno Kotaro、Kono Kai T.
- Journal Title
  
  The Astrophysical Journal Supplement Series
  
  Volume: 271 Issue: 2 Pages: 44-44
- DOI
  10.3847/1538-4365/ad2517
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-22K03412, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20H00576
[Journal Article] Asymptotic properties of hierarchical clustering in high-dimensional settings2024
- Author(s)
  Egashira Kento、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 199 Pages: 105251-105251
- DOI
  10.1016/j.jmva.2023.105251
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-20K11701, KAKENHI-PROJECT-22K03412, KAKENHI-PROJECT-20H00576
[Journal Article] 高次元小標本における非階層型クラスタリングの一致性について2023
- Author(s)
  江頭健斗, 矢田和善, 青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2254 Pages: 1-8
- Data Source
  KAKENHI-PROJECT-22K03412
[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023
- Author(s)
  Aoshima Makoto、Ishii Aki、Yata Kazuyoshi
- Journal Title
  
  American Mathematical Society, Sugaku Expositions
  
  Volume: ー
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K19769
[Journal Article] 高次元小標本における非階層型クラスタリングの一致性について2023
- Author(s)
  江頭健斗、矢田和善、青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2254 Pages: 1-8
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11850
[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023
- Author(s)
  Aoshima Makoto, Ishii Aki, Yata Kazuyoshi
- Journal Title
  
  American Mathematical Society, Sugaku Expositions
  
  Volume: ー
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] 高次元小標本における非階層型クラスタリングの一致性について2023
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2254 Pages: 1-8
- Open Access
- Data Source
  KAKENHI-PROJECT-22K19769
[Journal Article] Statistical hypothesis testing for high-dimension, low-sample-size data2023
- Author(s)
  M. Aoshima, A. Ishii, K. Yata
- Journal Title
  
  Sugaku Expositions
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05290
[Journal Article] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2221 Pages: 30-37
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11850
[Journal Article] 高次元現象の統計数理2022
- Author(s)
  青嶋誠
- Journal Title
  
  日本数学会秋季総合分科会総合講演・企画特別講演アブストラクト
  
  Volume: ー Pages: 51-61
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 188 Pages: 104850-104850
- DOI
  10.1016/j.jmva.2021.104850
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20K11701, KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-18H05290
[Journal Article] 高次元現象の統計数理2022
- Author(s)
  青嶋誠
- Journal Title
  
  日本数学会秋季総合分科会総合講演・企画特別講演アブストラクト
  
  Volume: ー Pages: 51-61
- Data Source
  KAKENHI-PROJECT-22K19769
[Journal Article] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2221 Pages: 30-37
- Open Access
- Data Source
  KAKENHI-PROJECT-22K19769
[Journal Article] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗、矢田和善、青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2221 Pages: 30-37
- Open Access
- Data Source
  KAKENHI-PROJECT-22K03412
[Journal Article] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2221 Pages: 30-37
- Open Access
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] 高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠・石井晶・矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- NAID
  40022736270
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K11850
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠、石井晶、矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings2021
- Author(s)
  Nakayama Yugo、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 185 Pages: 104779-104779
- DOI
  10.1016/j.jmva.2021.104779
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-20K22305
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠, 石井晶, 矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11701
[Journal Article] Hypothesis tests for high-dimensional covariance structures2021
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: in press Issue: 3 Pages: 599-622
- DOI
  10.1007/s10463-020-00760-5
- NAID
  120007168344
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-19K11850, KAKENHI-PROJECT-20K11701
[Journal Article] Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data2021
- Author(s)
  Egashira Kento、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 4 Issue: 2 Pages: 821-840
- DOI
  10.1007/s42081-021-00135-x
- NAID
  210000176902
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠、石井晶、矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] 論説：高次元小標本における統計的仮説検定2021
- Author(s)
  青嶋誠、石井晶、矢田和善
- Journal Title
  
  数学
  
  Volume: 73 Pages: 360-379
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] 高次元におけるDistance Weighted Discriminationについて2020
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2157 Pages: 1-10
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] Tests for high-dimensional covariance structures under the non-strongly spiked eigenvalue model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2157 Pages: 21-30
- NAID
  120006956689
- Open Access
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] 高次元におけるDistance Weighted Discriminationについて2020
- Author(s)
  江頭　健斗・矢田　和善・青嶋　誠
- Journal Title
  
  京都大学　数理解析研究所講究録
  
  Volume: 2157 Pages: 1-10
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11850
[Journal Article] High-dimensional covariance matrix estimation under the SSE model2020
- Author(s)
  Konishi Keisuke、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2157 Pages: 11-20
- NAID
  120006956688
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] High-dimensional Two-sample Test Procedures under the Strongly Spiked Eigenvalue Model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Journal Title
  
  Ouyou toukeigaku
  
  Volume: 49 Issue: 3 Pages: 109-125
- DOI
  10.5023/jappstat.49.109
- NAID
  130008022515
- ISSN
  0285-0370, 1883-8081
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20H00576
[Journal Article] 高次元におけるDistance Weighted Discriminationについて2020
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2157 Pages: 1-10
- Open Access
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] High-dimensional covariance matrix estimation under the SSE model2020
- Author(s)
  小西啓介、矢田和善、青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2157 Pages: 11-20
- NAID
  120006956688
- Open Access
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] Tests for high-dimensional covariance structures under the non-strongly spiked eigenvalue model2020
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2157 Pages: 21-30
- NAID
  120006956689
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] Soft-margin SVMs in the HDLSS context2019
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2124 Pages: 44-55
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] Geometric consistency of principal component scores for high‐dimensional mixture models and its application2019
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Scandinavian Journal of Statistics
  
  Volume: － Issue: 3 Pages: 899-921
- DOI
  10.1111/sjos.12432
- NAID
  120007163354
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-20K11701, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576
[Journal Article] Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model2019
- Author(s)
  A. ishii, K. Yata, M. Aoshima
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 印刷中 Issue: 1 Pages: 105-128
- DOI
  10.1007/s42081-018-0029-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-15H01678
[Journal Article] 強スパイク固有値モデルにおける高次元一標本検定とその応用について2019
- Author(s)
  石井　晶・矢田　和善・青嶋　誠
- Journal Title
  
  京都大学　数理解析研究所講究録
  
  Volume: 2124 Pages: 56-64
- Open Access
- Data Source
  KAKENHI-PROJECT-19K11850
[Journal Article] 強スパイク固有値モデルにおける高次元一標本検定とその応用について2019
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2124 Pages: 56-64
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] Soft-margin SVMs in the HDLSS context2019
- Author(s)
  Nakayama Yugo、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 2124 Pages: 44-55
- Open Access
- Data Source
  KAKENHI-PROJECT-19K22837
[Journal Article] Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model2019
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 202 Pages: 99-111
- DOI
  10.1016/j.jspi.2019.02.002
- NAID
  120007133560
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015
[Journal Article] 強スパイク固有値モデルにおける高次元一標本検定とその応用について2019
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2124 Pages: 56-64
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings2019
- Author(s)
  Nakayama Yugo、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: － Issue: 5 Pages: 1-30
- DOI
  10.1007/s10463-019-00727-1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-19J10175, KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-20K11701, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576
[Journal Article] A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model2019
- Author(s)
  Ishii Aki, Yata Kazuyoshi, Aoshima Makoto
- Journal Title
  
  Springer Proceedings in Mathematics and Statistics
  
  Volume: 294 Pages: 131-142
- DOI
  10.1007/978-3-030-28665-1_10
- ISBN
  9783030286644, 9783030286651
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-15H01678
[Journal Article] A Survey of High Dimension Low Sample Size Asymptotics2018
- Author(s)
  M. Aoshima, D. Shen, H. Shen, K. Yata, Y. Zhou, J.S. Marron
- Journal Title
  
  Special Issue in Honour of Peter Gavin Hall, Australian & New Zealand Journal of Statistics
  
  Volume: 60 Issue: 1 Pages: 4-19
- DOI
  10.1111/anzs.12212
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00043, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-26800078, KAKENHI-PROJECT-18H05290
[Journal Article] An equality test of high-dimensional covariance matrices under the SSE model2018
- Author(s)
  矢田和善, 石井　晶, 青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2091 Pages: 22-30
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] 日本統計学会賞受賞者特別寄稿論文：高次元統計解析: 理論と方法論の新しい展開2018
- Author(s)
  青嶋　誠
- Journal Title
  
  日本統計学会誌
  
  Volume: 48 Pages: 89-111
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] A general framework of SVM in HDLSS settings2018
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2091 Pages: 14-21
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] 日本統計学会賞受賞者特別寄稿論文：高次元統計解析: 理論と方法論の新しい展開2018
- Author(s)
  青嶋　誠
- Journal Title
  
  日本統計学会誌
  
  Volume: 48 Pages: 89-111
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K19956
[Journal Article] High-dimensional quadratic classifiers in non-sparse settings.2018
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  Methodology and Computing in Applied Probability
  
  Volume: to appear Issue: 3 Pages: 663-682
- DOI
  10.1007/s11009-018-9646-z
- NAID
  120007132793
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-15H01678
[Journal Article] A test for high-dimensional covariance matrices via the extended cross-data-matrix methodology2018
- Author(s)
  遠藤紘平, 矢田和善, 青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2091 Pages: 1-13
- Data Source
  KAKENHI-PROJECT-18K03409
[Journal Article] Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models2018
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: to appear Issue: 3 Pages: 473-503
- DOI
  10.1007/s10463-018-0655-z
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-15H01678
[Journal Article] 日本統計学会賞受賞者特別寄稿論文：高次元統計解析: 理論と方法論の新しい展開2018
- Author(s)
  青嶋　誠
- Journal Title
  
  日本統計学会誌
  
  Volume: 48-1 Pages: 89-111
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05290
[Journal Article] Two-sample tests for high-dimension, strongly spiked eigenvalue models2018
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  Statistica Sinica
  
  Volume: 28 Pages: 43-62
- DOI
  10.5705/ss.202016.0063
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K19956, KAKENHI-PROJECT-26800078, KAKENHI-PROJECT-17K00043, KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-15H01678
[Journal Article] A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise2018
- Author(s)
  Yata Kazuyoshi, Aoshima Makoto, Nakayama Yugo
- Journal Title
  
  Sequential Analysis
  
  Volume: 37 Issue: 3 Pages: 397-411
- DOI
  10.1080/07474946.2018.1548850
- NAID
  120007133441
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-18H05290, KAKENHI-PROJECT-15H01678
[Journal Article] Statistical inference for high-dimension, low-sample-size data2017
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  American Mathematical Society, Sugaku Expositions
  
  Volume: 30 Issue: 2 Pages: 137-158
- DOI
  10.1090/suga/421
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-26800078
[Journal Article] Support vector machine and its bias correction in high-dimension, low-sample-size settings2017
- Author(s)
  Nakayama, Y., Yata, K., Aoshima, M.
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 191 Pages: 88-100
- DOI
  10.1016/j.jspi.2017.05.005
- NAID
  120007134554
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-26800078
[Journal Article] 高次元固有ベクトルの一致性2017
- Author(s)
  矢田　和善・青嶋　誠
- Journal Title
  
  京都大学　数理解析研究所講究録
  
  Volume: 2047 Pages: 19-28
- Data Source
  KAKENHI-PROJECT-15K11992
[Journal Article] Reconstruction of a High-Dimensional Low-Rank Matrix2016
- Author(s)
  K. Yata, M. Aoshima
- Journal Title
  
  Electronic Journal of Statistics
  
  Volume: 10 Pages: 895-917
- NAID
  120007135234
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26330033
[Journal Article] High-Dimensional Inference on Covariance Structures via the Extended Cross Data-Matrix Methodology2016
- Author(s)
  K. Yata, M. Aoshima
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 151 Pages: 151-166
- NAID
  120007129372
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26330033
[Journal Article] Estimation of a signal matrix for high-dimensional non-Gaussian data2016
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1999 Pages: 36-46
- Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-26540010
[Journal Article] Non-asymptotic results for Cornish-Fisher expansions2016
- Author(s)
  Ulyanov, V.V., Aoshima, M., Fujikoshi, Y.
- Journal Title
  
  Journal of Mathematical Sciences
  
  Volume: 218 Issue: 3 Pages: 363-368
- DOI
  10.1007/s10958-016-3036-2
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26540010
[Journal Article] 高次元小標本におけるサポートベクターマシンの一致性について2016
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1999 Pages: 17-27
- Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] High-dimensional inference on covariance structures via the extended cross-data-matrix methodology2016
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 151 Pages: 151-166
- DOI
  10.1016/j.jmva.2016.07.011
- NAID
  120007129372
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-26540010, KAKENHI-PROJECT-26800078
[Journal Article] 拡張クロスデータ行列法と共分散行列関数の不偏推定2016
- Author(s)
  矢田　和善・青嶋　誠
- Journal Title
  
  京都大学　数理解析研究所講究録
  
  Volume: 1954 Pages: 51-60
- Open Access
- Data Source
  KAKENHI-PROJECT-15K11992
[Journal Article] 高次元の統計学2016
- Author(s)
  青嶋　誠
- Journal Title
  
  数学通信
  
  Volume: 21 Pages: 5-15
- NAID
  40020943528
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] Reconstruction of a high-dimensional low-rank matrix2016
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  Electronic Journal of Statistics
  
  Volume: 10 Issue: 1 Pages: 895-917
- DOI
  10.1214/16-ejs1128
- NAID
  120007135234
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26540010, KAKENHI-PROJECT-26800078
[Journal Article] Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context2016
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 170 Pages: 186-199
- DOI
  10.1016/j.jspi.2015.10.007
- NAID
  120007129950
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26800078, KAKENHI-PROJECT-15H01678
[Journal Article] Statistical inference for high-dimension, low-sample-size data2015
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  American Mathematical Society
  
  Volume: 印刷中
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] Geometric classifier for multiclass, high-dimensional data2015
- Author(s)
  Makoto Aoshima, Kazuyoshi Yata
- Journal Title
  
  Sequential Analysis
  
  Volume: 34 Issue: 3 Pages: 279-294
- DOI
  10.1080/07474946.2015.1063256
- NAID
  120005663456
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26800078, KAKENHI-PROJECT-15H01678
[Journal Article] 拡張クロスデータ行列法と共分散行列関数の不偏推定2015
- Author(s)
  矢田和善，青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1954 Pages: 51-60
- Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15H01678
[Journal Article] Reconstruction of a signal matrix for high-dimension, low-sample-size data2015
- Author(s)
  Murayama, W., Yata, K., Aoshima, M.
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1954 Pages: 23-31
- Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-26540010
[Journal Article] Largest eigenvalue estimation for high-dimension, low-sample-size data and its application2014
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1910 Pages: 115-124
- Open Access
- Data Source
  KAKENHI-PROJECT-23340022
[Journal Article] Asymptotic distribution of the largest eigenvalue via geometric representations of high-dimension, low-sample-size data2014
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Journal Title
  
  Sri Lankan Journal of Applied Statistics
  
  Volume: 5 Issue: 4 Pages: 81-94
- DOI
  10.4038/sljastats.v5i4.7785
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] 高次元小標本における混合データの幾何学的表現とクラスター分析への応用2014
- Author(s)
  矢田和善, 青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1910 Pages: 125-133
- Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26540010
[Journal Article] Largest eigenvalue estimation for high-dimension, low-sample-size data and its application2014
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1910 Pages: 115-124
- Open Access
- Data Source
  KAKENHI-PROJECT-24650146
[Journal Article] Largest Eigenvalue Estimation for High-Dimension, Low-Sample-Size Data and its Application2014
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1910 Pages: 115-124
- Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-26540010
[Journal Article] A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data2014
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  Annals of the Institute of Statistical Mathematics
  
  Volume: 66 Issue: 5 Pages: 983-1010
- DOI
  10.1007/s10463-013-0435-8
- NAID
  40020186813
- Peer Reviewed / Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23650142, KAKENHI-PROJECT-23740066, KAKENHI-PROJECT-26330033
[Journal Article] 高次元小標本における混合データの幾何学的表現とクラスター分析への応用2014
- Author(s)
  矢田和善・青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1910 Pages: 125-133
- Open Access
- Data Source
  KAKENHI-PROJECT-24650146
[Journal Article] 高次元データの統計的方法論2013
- Author(s)
  青嶋　誠、矢田和善
- Journal Title
  
  日本統計学会誌
  
  Volume: 43 Pages: 123-150
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23500343
[Journal Article] 日本統計学会研究業績賞受賞者特別寄稿論文：高次元データの統計的方法論2013
- Author(s)
  青嶋　誠、矢田和善
- Journal Title
  
  日本統計学会誌
  
  Volume: 43 Pages: 123-150
- NAID
  110009649320
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] Correlation tests for high-dimensional data using extended cross-data-matrix methodology2013
- Author(s)
  Yata, K.
- Journal Title
  
  J. Multivariate Anal.
  
  Volume: 117 Pages: 313-331
- DOI
  10.1016/j.jmva.2013.03.007
- NAID
  120007137031
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23500343, KAKENHI-PROJECT-23740066
[Journal Article] 論説：高次元小標本における統計的推測2013
- Author(s)
  青嶋　誠
- Journal Title
  
  数学
  
  Volume: 65
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] 高次元小標本における統計的推測2013
- Author(s)
  青嶋　誠・矢田和善
- Journal Title
  
  数学
  
  Volume: 65 Pages: 225-247
- NAID
  10031195365
- Data Source
  KAKENHI-PROJECT-23340022
[Journal Article] Asymptotic distribution of the largest eigenvalue via geometric representations of high-dimension, low-sample-size data2013
- Author(s)
  Ishii, A., Yata, K., Aoshima, M.
- Journal Title
  
  Sri Lankan Journal of Applied Statistics, Special Issue: Modern Statistical Methodologies in the Cutting Edge of Science
  
  Volume: 印刷中
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23650142
[Journal Article] Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions2013
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  Methodology and Computing in Applied Probability
  
  Volume: 印刷中 Issue: 2 Pages: 419-439
- DOI
  10.1007/s11009-013-9370-7
- NAID
  120007130238
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23740066, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-26330033
[Journal Article] On the distribution of the largest eigenvalue in high dimension2013
- Author(s)
  矢田和善・青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1860 Pages: 120-128
- Data Source
  KAKENHI-PROJECT-23340022
[Journal Article] On the distribution of the largest eigenvalue in high dimension, low samplesize context2013
- Author(s)
  矢田和善、青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1860 Pages: 120-128
- Data Source
  KAKENHI-PROJECT-23650142
[Journal Article] PCA consistency for the power spiked model in high-dimensional settings2013
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  J. Multivariate Anal.
  
  Volume: 122 Pages: 334-354
- DOI
  10.1016/j.jmva.2013.08.003
- NAID
  120007136793
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23500343, KAKENHI-PROJECT-23740066
[Journal Article] Cluster analysis for high-dimensional data2012
- Author(s)
  Kurishita, K., Yata, K., Aoshima, M.
- Journal Title
  
  Proceedings of Statistical Inference for High-Dimensional Data and Its Applications
  
  Pages: 11-20
- Data Source
  KAKENHI-PROJECT-23650142
[Journal Article] Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric reprensentations2012
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  J.Multivariate Anal.
  
  Volume: 105 Issue: 1 Pages: 193-215
- DOI
  10.1016/j.jmva.2011.09.002
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21650063, KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23500343, KAKENHI-PROJECT-23740066, KAKENHI-PROJECT-24650146
[Journal Article] EffectivePCA for high-dimension, low-sample-size datawith noise reduction via geometricreprensentations2012
- Author(s)
  Yata, K. and Aoshima, M.
- Journal Title
  
  J. Multivariate Anal
  
  Volume: 105 Pages: 193-215
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21650063
[Journal Article] Asymptotic properties of a distance-based classifier for high-dimensional data2012
- Author(s)
  矢田和善・青嶋　誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1804 Pages: 53-64
- Data Source
  KAKENHI-PROJECT-23340022
[Journal Article] Note on classification for high-dimensional data2012
- Author(s)
  永橋幸大, 矢田和善, 青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1804 Pages: 40-52
- Data Source
  KAKENHI-PROJECT-23650142
[Journal Article] Asymptotic properties of a distance-based classifier for high-dimensional data2012
- Author(s)
  矢田和善, 青嶋　誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1804 Pages: 53-64
- Data Source
  KAKENHI-PROJECT-23650142
[Journal Article] Authors' response : Two-stage procedures for high-dimensional data2011
- Author(s)
  Aoshima, M.
- Journal Title
  
  Sequential Analysis
  
  Volume: 30 Issue: 4 Pages: 432-440
- DOI
  10.1080/07474946.2011.619102
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23740066
[Journal Article] Two-stage prgcedures for high-dimensional data2011
- Author(s)
  Aoshima, M.
- Journal Title
  
  Sequential.Analysis
  
  Volume: 30(印刷中)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] Two-stage procedures for estimating the difference of means when the sampling cost is different2011
- Author(s)
  Aoshima, M.
- Journal Title
  
  Sequential Analysis
  
  Volume: 30(印刷中)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] Two-stage procedures for estimating the difference of means when the sampling cost is different2011
- Author(s)
  Aoshima, M.
- Journal Title
  
  Sequential Analysis
  
  Volume: 30 Issue: 2 Pages: 160-171
- DOI
  10.1080/07474946.2011.563706
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23650142
[Journal Article] Two-stage procedures for high-dimensional data (Editor's special invited paper)2011
- Author(s)
  Aoshima, M.
- Journal Title
  
  Sequential Analysis
  
  Volume: 30 Issue: 4 Pages: 356-399
- DOI
  10.1080/07474946.2011.619088
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094, KAKENHI-PROJECT-23340022, KAKENHI-PROJECT-23740066
[Journal Article] Intrinsic dimensionality estimation of high dimension, low sample size data with d-asymptotics2010
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  Commun.Statist.-Theory and Meth. 39(in press)
- NAID
  120007137805
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] Note on robust estimation and model selection in a contaminated mixture model2010
- Author(s)
  小林裕子, 矢田和善, 青嶋誠
- Journal Title
  
  京都大学数理解析研究所講究録
  
  Volume: 1703 Pages: 159-179
- URL
  http://www.kurims.kyoto-u.ac.jp/~kyodo/kokyuroku
- Data Source
  KAKENHI-PROJECT-21650063
[Journal Article] Note on robust estimation and model selection in a contaminated mixture model2010
- Author(s)
  小林裕子・矢田和善・青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1703 Pages: 159-179
- Data Source
  KAKENHI-PROJECT-21650063
[Journal Article] Asymptotic second-order consistency for two-stage estimation methodologies and its applications2010
- Author(s)
  Aoshima, M.
- Journal Title
  
  Ann.Inst.Statist.Math.
  
  Volume: 62 Pages: 571-600
- NAID
  120007137458
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22300094
[Journal Article] Asymptotic second-order consistency for two-stage estimation methodologies and its applications2010
- Author(s)
  Aoshima, M., Yata, K.
- Journal Title
  
  Ann.Inst.Statist.Math. 62(in press)
- NAID
  120007137458
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] Asymptotic second-order consistency for two-stage estimation methodologies and its applications2010
- Author(s)
  Makoto Aoshima
- Journal Title
  
  Ann.Inst.Statist.Math. 62(印刷中)
- NAID
  120007137458
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] Intrinsic dimesionality estimation of high-dimension2010
- Author(s)
  Yata, K. and Aoshima, M
- Journal Title
  
  Commun. StatistStatist.-Theory and Methods
  
  Volume: 39 Issue: 8-9 Pages: 1511-1521
- DOI
  10.1080/03610920903121999
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21650063
[Journal Article] Asymptotic second-order consistency for two-stage estimatioh methodologies and its applications2009
- Author(s)
  Makoto Aoshima
- Journal Title
  
  Ann. Inst. Statist. Math. (印刷中)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] PCA consistency for non-Gaussian data in high dimension, low sample size context2009
- Author(s)
  Yata, K., Aoshima, M.
- Journal Title
  
  Commun.Statist.-Theory and Meth. 38
  
  Pages: 2634-2652
- NAID
  120007131251
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] PCA consistency for non-Gaussian data in high dimension, low sample size context2009
- Author(s)
  Yuta, K., Aoshima, M.
- Journal Title
  
  Commun.Statist.-Theory and Meth. 38
  
  Pages: 2634-2652
- NAID
  120007131251
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19340020
[Journal Article] Second-order efficiency for two-stage estimation of a linear function of normal mean vectors when covariance matrices have some structures2006
- Author(s)
  Aoshima, M.
- Journal Title
  
  Sequential Analysis 25・3
  
  Pages: 327-345
- Data Source
  KAKENHI-PROJECT-18300092
[Journal Article] Asymptotic second-order efficiency for two-stage multiple comparisons with components of a linear function of mean vectors2005
- Author(s)
  Aoshima, M., Kushida, T.
- Journal Title
  
  Advances in Ranking and Selection, Multiple Comparison, and Reliability (Ed.Barakrishnan et al.)
  
  Pages: 191-211
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-15300096
[Journal Article] Asymptotic second-order efficiency for two-stage multiple Comparisons with components of a linear function of mean vectors2005
- Author(s)
  Aoshima, M., Kushida, T.
- Journal Title
  
  Advances in Ranking and Selection, Multiple Comparisons, and Reliability(Ed.Barakrish nan et al.)
  
  Pages: 191-211
- Data Source
  KAKENHI-PROJECT-15300096
[Journal Article] Asymptotic second-order efficiency for two-stage multiple comparisons with components of a linear function of mean vectors2005
- Author(s)
  Aoshima, M., Kushida, T.
- Journal Title
  
  Advances inRan king and Selection, Multiple Comparisons and Reliability
  
  Pages: 191-211
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Statistical inference in two-stage sampling2005
- Author(s)
  Aoshima, M.
- Journal Title
  
  Selected Papers on Differential Equations and Analysis, Amer.Math.Soc.Transl. 215
  
  Pages: 125-145
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Asymptotic second - order efficiency for two - stage multiple comparisons with components of a linear function of mean vectors2005
- Author(s)
  M.Aoshima, T.Kushida
- Journal Title
  
  Advances in ranking and selection, multiple comparisons, reliability
  
  Pages: 191-211
- Data Source
  KAKENHI-PROJECT-16650058
[Journal Article] Second-order efficiency for two-stage estimation of a linear function of normal mean vectors when covariance matrices have some structures2005
- Author(s)
  Aoshima, M., Takada, Y.
- Journal Title
  
  Sequential Analysis 24(In press)
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Asymptotic second-order efficiency for two-stage multiple comparisons with components of a linear function of mean vectors2005
- Author(s)
  Aoshima, M., Kushida, T.
- Journal Title
  
  Advances in Ranking and Selection, Multiple Comparison, and Reliability, (Ed. Barakrishnan et al.)
  
  Pages: 191-211
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-15300096
[Journal Article] Asymptotic second-order efficiency for multivariate two-stage estimation of a linear function of normal mean vectors2004
- Author(s)
  Aoshima, M., Takada, Y.
- Journal Title
  
  Sequential Analysis 23・3
  
  Pages: 333-353
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Two-stage multiple comparisons with components of a linear function of mean vectors2004
- Author(s)
  Kushida, T., Aoshima, M.
- Journal Title
  
  数理解析研究所講究録 1380
  
  Pages: 33-51
- Data Source
  KAKENHI-PROJECT-14204006
[Journal Article] Transformations with improved chi-squared approximations2004
- Author(s)
  Enoki, H., Aoshima, M.
- Journal Title
  
  数理解析研究所講究録 1380
  
  Pages: 160-181
- Data Source
  KAKENHI-PROJECT-16650058
[Journal Article] Asymptotic second-order efficiency for multivariate two-stage estimation of a linear function of normal mean vectors.2004
- Author(s)
  Aoshima, M., Takada, Y.
- Journal Title
  
  Sequential Analysis 23(3)
  
  Pages: 333-353
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-14204006
[Journal Article] Transformations with improved chi-squared approximations2004
- Author(s)
  Enoki, H., Aoshima, M.
- Journal Title
  
  数理解析研究所講究録 1380
  
  Pages: 160-161
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Percentage points of the largest among Student's T randam variable2004
- Author(s)
  Mukhopadhyay, N., Aoshima, M.
- Journal Title
  
  Methodology and Computing in Applied Probability 6
  
  Pages: 250-254
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-15300096
[Journal Article] Two-stage multiple comparisons with components of a linear function of mean vectors2004
- Author(s)
  Kushida, T., Aoshima, M.
- Journal Title
  
  数理解析研究所講究録 1380
  
  Pages: 33-51
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Asymptotic second-order efficiency for multivariate two-stage estimation of a linear function of normal mean rectors2004
- Author(s)
  M.Aoshima, Y.Takada
- Journal Title
  
  Sequential Analysis 23-3
  
  Pages: 333-353
- Description
  「研究成果報告書概要(和文)」より
- Data Source
  KAKENHI-PROJECT-14204006
[Journal Article] Percentage points of the largest among Student's T random variable2004
- Author(s)
  Mukhopadhyay, N., Aoshima, M.
- Journal Title
  
  Methodology and Computing in Applied Probability 6
  
  Pages: 161-179
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Two-stage procedures for selecting the best component of a multivariate exponential distribution2004
- Author(s)
  Aoshima, M., Aoki, M., Kai, M.
- Journal Title
  
  Applied Sequential Methodologies
  
  Pages: 19-34
- Data Source
  KAKENHI-PROJECT-16650059
[Journal Article] Percentage points of the largest among Student's T random variable2004
- Author(s)
  Mukhopadhyay, N., Aoshima, M.
- Journal Title
  
  Methodology and Computing in Applied Probability 6
  
  Pages: 250-254
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-15300096
[Journal Article] Sequential procedures for selecting the most probable multinomial cell when a nuisance cell is present2003
- Author(s)
  Aoshima, M., Chen, P., Panchapakesan, S.
- Journal Title
  
  Commun.Statist.Theory and Methods 32(4)
  
  Pages: 893-906
- Description
  「研究成果報告書概要(欧文)」より
- Data Source
  KAKENHI-PROJECT-15300096
[Presentation] Reconstruction of a low-rank matrix by singular value decompositions2024
- Author(s)
  矢田和善、青嶋誠
- Organizer
  日本数学会年会
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 高次元相関行列の統計的推測について2024
- Author(s)
  巖名佑務, 矢田和善, 石井晶, 青嶋誠
- Organizer
  京都大学数理解析研究所研究集会「確率モデルと統計的推測」
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Asymptotic properties of kernel k-means under high dimensional settings2024
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  IMS Asia Pacific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic properties of kernel k-means under high dimensional settings2024
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  IMS Asia Pacific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元小標本におけるカーネルk-means法について2024
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Organizer
  日本数学会度年会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Reconstruction of a low-rank matrix by singular value decompositions2024
- Author(s)
  矢田和善, 青嶋誠
- Organizer
  日本数学会度年会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元小標本におけるカーネルk-means法について2024
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本数学会年会
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Inference on high-dimensional mean vectors by the data transformation technique2024
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  IMS Asia Pacific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic properties of kernel k-means under high dimensional settings2024
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  IMS Asia Pacific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Inference on high-dimensional mean vectors by the data transformation technique2024
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  IMS Asia Pacific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Threshold-based Sparse PCA for high-dimensional data based on the noise-reduction methodology2023
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Statistical Week 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Estimation of the strongly spiked eigenstructure in high-dimensional settings2023
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Asymptotic behaviors of k-means under high dimensional settings2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元データにおけるk-means法の漸近的性質とその応用2023
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Hierarchical clustering and its asymptotic behaviors in multiclass HDLSS settings2023
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Organizer
  科研費シンポジウム「統計科学と関連分野における諸問題に関する理論と方法論の革新的展開」
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元データにおけるk-means法の漸近的性質とその応用2023
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 高次元データにおけるk-means法の漸近的性質とその応用2023
- Author(s)
  江頭健斗、矢田和善、青嶋　誠
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] Quadratic classifiers for high-dimensional noisy data2023
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Asymptotic properties of kernel k-means for high dimensional data2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Conference on New Techniques and Technologies for Official Statistics2023
- Author(s)
  Makoto Aoshima
- Organizer
  Statistische Woche 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11701
[Presentation] Asymptotic properties of kernel k-means for high dimensional data2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Strongly spiked eigenvalueモデルにおける高次元相関行列の検定について2023
- Author(s)
  巖名佑務, 矢田和善, 石井晶, 青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Estimation of the strongly spiked eigenstructure in high-dimensional settings2023
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] k-means 法の高次元漸近的性質について2023
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  応用統計学会年会
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 高次元小標本におけるk-means法と階層的クラスタリングについて2023
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Non-sparse modeling for high-dimensional data2023
- Author(s)
  Makoto Aoshima
- Organizer
  Statistical Week 2023（基調講演）
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の統計的推測2023
- Author(s)
  矢田和善、石井　晶、青島　誠
- Organizer
  2023年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] Quadratic classifiers for high-dimensional noisy data2023
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元小標本における非階層型クラスタリングの一致性について2023
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  京都大学数理解析研究所研究集会「種々の統計的モデルにおける推測方式の有効性」
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の統計的推測2023
- Author(s)
  矢田和善, 石井晶, 青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Threshold-based Sparse PCA for high-dimensional data based on the noise-reduction methodology2023
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Statistical Week 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic behaviors of k-means under high dimensional settings2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 高次元小標本における非階層型クラスタリングの一致性について2023
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  京都大学数理解析研究所研究集会「種々の統計的モデルにおける推測方式の有効性」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Threshold-based PCA in high-dimensional settings2023
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  TMU International Conference on Statistical Modelling and Inference 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の統計的推測2023
- Author(s)
  矢田和善, 石井晶, 青嶋誠
- Organizer
  統計関連学会連合大会応用統計学会企画セッション「高次元統計解析の最近の発展」
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic properties of kernel k-means for high dimensional data2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] k-means 法の高次元漸近的性質について2023
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Organizer
  応用統計学会年会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Quadratic classifiers for high-dimensional noisy data2023
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Non-sparse modeling for high-dimensional data2023
- Author(s)
  Makoto Aoshima
- Organizer
  Statistical Week 20231（基調講演）
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 高次元小標本におけるk-means法と階層的クラスタリングについて2023
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Automatic sparse PCA for high-dimensional data and its applications2023
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Seminar on Institute of Statistical Science, Academia Sinica
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Threshold-based PCA in high-dimensional settings2023
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  TMU International Conference on Statistical Modelling and Inference 2023
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Asymptotic behaviors of k-means under high dimensional settings2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Automatic sparse PCA for high-dimensional data and its applications2023
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Seminar on Institute of Statistical Science, Academia Sinica
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Hierarchical clustering and its asymptotic behaviors in multiclass HDLSS settings2023
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「統計科学と関連分野における諸問題に関する理論と方法論の革新的展開」
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Test for outlier detection by high-dimensional PCA2022
- Author(s)
  Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元現象の統計数理2022
- Author(s)
  青嶋誠
- Organizer
  日本数学会
- Invited
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  JMVA 50th Jubilee volume follow-up webinar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its applications2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 階層的クラスタリングの高次元漸近的振舞い2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元主成分分析における頑健性について2022
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元におけるカーネル主成分分析の漸近的性質とその応用2022
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「多様な高次元モデルの理論と方法論：最前線の動向」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元現象の統計数理2022
- Author(s)
  青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Invited
- Data Source
  KAKENHI-PROJECT-20K11701
[Presentation] Multiple outlier detection test with PCA in high-dimension, low-sample-size settings2022
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Hierarchical clustering and its asymptotic behaviors in high-dimensional settings2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「統計科学の開拓」
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Multiple outlier detection test with PCA in high-dimension, low-sample-size settings2022
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  2022年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] 高次元現象の統計数理2022
- Author(s)
  青嶋誠
- Organizer
  日本数学会秋季総合分科会（企画特別講演）
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  京都大学数理解析研究所研究会「ベイズ法と統計的推測」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  JMVA 50th Jubilee volume follow-up webinar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 階層的クラスタリングの高次元漸近的振舞い2022
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Multiple outlier detection test with PCA in high-dimension, low-sample-size settings2022
- Author(s)
  中山優吾, 矢田和善, 青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic behaviors of hierarchical clustering under high dimensional settings2022
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元主成分分析における頑健性について2022
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] Geometric classifiers for high-dimensional noisy data2022
- Author(s)
  Aki Ishii、Kazuyoshi Yata、Makoto Aoshima
- Organizer
  JMVA 50th Jubilee volume follow-up virtual meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 階層的クラスタリングの高次元漸近的振舞い2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] Test for outlier detection by high-dimensional PCA2022
- Author(s)
  Yugo Nakayama、Kazuyoshi Yata、Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] High dimensional and low sample size case statistics for the screening on crystal information of the solid-state electrolytes2022
- Author(s)
  Sakamoto, H., Yata, K., Yamasaki, H., Aoshima, M.
- Organizer
  2022 Materials Research Society Spring Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] High dimensional and low sample size case statistics for the screening on crystal information of the solid-state electrolytes2022
- Author(s)
  Hirotaka Sakamoto, Kazuyoshi Yata, Hisatsugu Yamaski, Makoto Aoshima
- Organizer
  2022 Materials Research Society Spring Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元現象の統計数理2022
- Author(s)
  青島誠
- Organizer
  日本数学会秋季総合分科会総合講演・企画特別講演
- Invited
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  京都大学数理解析研究所研究集会「ベイズ法と統計的推測」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元主成分分析における頑健性について2022
- Author(s)
  中山優吾, 矢田和善, 青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its applications2022
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元現象の統計数理2022
- Author(s)
  青嶋誠
- Organizer
  日本数学会秋季総合分科会（企画特別講演）
- Invited
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Hierarchical clustering and its asymptotic behaviors in high-dimensional settings2022
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  科研費シンポジウム「統計科学の開拓」
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] Asymptotic behaviors of hierarchical clustering under high dimensional settings2022
- Author(s)
  Kento Egashira、Kazuyoshi Yata、Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Hierarchical clustering and its asymptotic behaviors in high-dimensional settings2022
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  科研費シンポジウム「統計科学の開拓」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元小標本における非階層型クラスタリングの一致性について2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  京都大学数理解析研究所研究集会「種々の統計的モデルにおける推測方式の有効性」
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its application2022
- Author(s)
  Kazuyoshi Yata、Aki Ishii、Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] Asymptotic behaviors of hierarchical clustering under high dimensional settings2022
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769
[Presentation] 階層的クラスタリングの高次元漸近的振舞い2022
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元主成分スコアに基づく異常値の検出法2022
- Author(s)
  中山優吾, 矢田和善, 青嶋誠
- Organizer
  日本数学会年度会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High dimensional and low sample size case statistics for the screening on crystal information of the solid-state electrolytes2022
- Author(s)
  Hirotaka Sakamoto、Kazuyoshi Yata、Hisatsugu Yamaski、Makoto Aoshima
- Organizer
  2022 MRS Spring Meeting
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K03412
[Presentation] 高次元における重み付き判別分析とデータ変換法について2021
- Author(s)
  中山優吾, 矢田和善, 青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High-dimensional statistical analysis of the ALMA spectroscopic map of a nearby galaxy NGC 2532021
- Author(s)
  Takeuchi Tsutomu、Kono Kai、Yata Kazuyoshi、Aoshima Makoto、Ishii Aki、Nakanishi Koichiro、Egashira Kento、Cooray Suchetha、Kohono Kotatro
- Organizer
  Galaxy Evolution Workshop 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High-Dimensional Statistical Analysis of the ALMA Spectroscopic Map of a Nearby Galaxy NGC 2532021
- Author(s)
  Takeuchi T、Kono K、Yata K、Aoshima M、Ishii A、Nakanishi K、Egashira K、Cooray S、Kohno K
- Organizer
  Galaxy Evolution Workshop 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元統計学の方法による銀河の分光マップの解析2021
- Author(s)
  竹内努、矢田和善、青嶋誠、石井晶、江頭健斗、河野海、中西康一郎、Suchetha Cooray、河野孝太郎
- Organizer
  科研費シンポジウム「多様な分野における統計科学に関する理論と方法論の革新的展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 距離加重判別分析の高次元漸近的性質2021
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本数学会2021年度年会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Analysis of Integral Field Spectroscopic Data as a High-Dimensional Low-Sample Size Data Problem2021
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善、青嶋誠、石井晶
- Organizer
  日本天文学会2021年春季年会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application2021
- Author(s)
  Yata K., Aoshima M.
- Organizer
  The 63rd ISI World Statistics Congress
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic properties of high-dimensional kernel PCA and its applications2021
- Author(s)
  Nakayama Y., Yata K., Aoshima M.
- Organizer
  International Symposium on New Developments of Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 単一強スパイク固有値モデルにおける高次元平均ベクトルの2標本検定2021
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High-dimensional quadratic classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  IISA 2021 Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Asymptotic properties of high-dimensional kernel PCA and its applications2021
- Author(s)
  Nakayama Y., Yata K., Aoshima M.
- Organizer
  International Symposium on New Developments of Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善・石井晶・青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善、石井晶、青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application2021
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 63rd ISI World Statistics Congress
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善、石井晶、青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional quadratic classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  IISA 2021 Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 強スパイク固有値モデルにおける高次元2次判別2021
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  応用統計学会年会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Asymptotic properties of high-dimensional kernel PCA and its applications2021
- Author(s)
  Nakayama Yugo、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on New Developments of Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元小標本の統計学：非スパース性と巨大ノイズ（特別講演）2021
- Author(s)
  青嶋誠
- Organizer
  統計数理研究所リスク解析戦略研究センターシンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元相互共分散行列の特異値分解とその応用2021
- Author(s)
  佐々木拓真、矢田和善、青嶋誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計科学の革新にむけて」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 4rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests for covariance structures in high-dimensional data2021
- Author(s)
  Yata K., Ishii A., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests for covariance structures in high-dimensional data2021
- Author(s)
  Yata Kazuyoshi、Ishii Aki、Aoshima Makoto
- Organizer
  The 4rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Analysis of integral field spectroscopic data as a high-dimensional low-sample size data problem2021
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善、青嶋誠、石井晶、江頭健斗
- Organizer
  日本天文学会2021年春季年会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High-dimensional classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] High-Dimensional Statistical Analysis of ALMA Spectroscopic Mapping Data2021
- Author(s)
  Takeuchi T、Kono K、Nakanishi K、Yata K、Aoshima M、Egashira K、Ishii A
- Organizer
  自然科学研究機構：自然科学研究における機関間連携ネットワークによる拠点形成事業シンポジウム「自然科学における階層と全体」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元小標本の統計学：非スパース性と巨大ノイズ（特別講演）2021
- Author(s)
  青嶋誠
- Organizer
  統計数理研究所リスク解析戦略研究センターシンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元統計学の方法による銀河の分光マップの解析2021
- Author(s)
  竹内努、矢田和善、青嶋誠、石井晶、江頭健斗、河野海、中西康一郎、Suchetha COORAY、河野孝太郎
- Organizer
  科研費シンポジウム「多様な分野における統計科学に関する理論と方法論の革新的展開」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元におけるカーネル主成分分析の漸近的性質と異常値の検出への応用2021
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会2021年度年会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 距離加重判別分析の高次元漸近的性質2021
- Author(s)
  江頭健斗，矢田和善，青嶋誠
- Organizer
  日本数学会2021年度年会
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] 高次元におけるカーネル主成分分析の漸近的性質と異常値の検出への応用2021
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会年会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] High-dimensional classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元相互共分散行列の特異値分解とその応用2021
- Author(s)
  佐々木拓真、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「統計科学の革新にむけて」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests for covariance structures in high-dimensional data2021
- Author(s)
  Yata K., Ishii A., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元小標本の統計学：非スパース性と巨大ノイズ（特別講演）2021
- Author(s)
  青嶋誠
- Organizer
  統計数理研究所リスク解析戦略研究センターシンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-20K11701
[Presentation] High-dimensional quadratic classifiers under the strongly spiked eigenvalue model2021
- Author(s)
  Ishii A., Yata K., Aoshima M.
- Organizer
  IISA 2021 Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Clustering by kernel PCA with Gaussian Kernel and tuning for high-dimensional data2021
- Author(s)
  Nakayama Y., Yata K., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元データにおけるノイズ構造の高精度な解析に基づく統計的推測2021
- Author(s)
  矢田和善、石井晶、青嶋誠
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application2021
- Author(s)
  Yata K., Aoshima M.
- Organizer
  The 63rd ISI World Statistics Congress
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元におけるDWDとWDWDのバイアス補正とその比較2021
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計科学の革新にむけて」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元におけるDWDとWDWDのバイアス補正とその比較2021
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「統計科学の革新にむけて」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Clustering by kernel PCA with Gaussian kernel and tuning for high-dimensional data2021
- Author(s)
  Nakayama Y., Yata K., Aoshima M.
- Organizer
  The 4th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 距離加重判別分析の高次元漸近的性質2021
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  日本数学会2021年度年会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Clustering by kernel PCA with Gaussian kernel and tuning for high-dimensional data2021
- Author(s)
  Nakayama Yugo、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 4rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Asymptotic properties of distance weighted discrimination and its bias correction in HDLSS settings2020
- Author(s)
  江頭健斗、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Clustering by kernel principal component analysis for high-dimensional data2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正2020
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional covariance matrix estimation under the strongly spiked eigenvalue model2020
- Author(s)
  小西啓介, 矢田和善, 青嶋　誠
- Organizer
  科研費シンポジウム「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] ノイズ掃き出し法に基づく共分散行列の推定2020
- Author(s)
  小西啓介, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所研究集会「統計的モデルの新展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Asymptotic properties of distance weighted discrimination and its bias correction in HDLSS settings2020
- Author(s)
  江頭健斗, 矢田和善, 青嶋　誠
- Organizer
  科研費シンポジウム「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High-dimensional statistics for integral field spectroscopic data2020
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善、青嶋誠、石井晶、江頭健斗
- Organizer
  初代星初代銀河研究会2020
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元データに対する共分散構造の検定2020
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所研究集会「統計的モデルの新展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元データにおける異常値の検出について2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「機械学習・統計学・最適化の数理とAI技術への展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元スパースPCAの一致性とその応用2020
- Author(s)
  矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-Dimensional Statistics for Integral Field Spectroscopic Data2020
- Author(s)
  Takeuchi T、Kono K、Nakanishi K、Yata K、Aoshima M、Egashira K、Ishii A
- Organizer
  日本学術振興会科学研究費による研究集会「初代星・初代銀河研究会2020」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元スパースPCAの一致性とその応用2020
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] 高次元小標本における異常値の検出2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元カーネル主成分分析に基づく異常値の検出2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] データ変換を用いた高次元判別分析について2020
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Organizer
  科研費シンポジウム「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶, 矢田和善, 青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] Analysis of Spatially Resolved Galaxy Spectra as a High-Dimensional Low-Sample Size Data Problem2020
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善，青嶋誠、石井晶、江頭健斗
- Organizer
  日本学術振興会科学研究費による研究集会「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-dimensional covariance matrix estimation under the strongly spiked eigenvalue model2020
- Author(s)
  小西啓介、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Clustering by kernel principal component analysis for high-dimensional data2020
- Author(s)
  中山優吾，矢田和善，青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20K11701
[Presentation] 高次元カーネル主成分分析に基づく異常値の検出2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Clustering by kernel principal component analysis for high-dimensional data2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元スパースPCAの一致性とその応用2020
- Author(s)
  矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] データ変換を用いた高次元次判別分析について2020
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「多様な高次元モデルにおける理論と方法論，及び，関連分野への応用」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Analysis of spatially resolved galaxy spectra as a high-dimensional low-sample size data problem2020
- Author(s)
  竹内努、河野海、中西康一郎、矢田和善、青嶋誠、石井晶、江頭健斗
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元スパースPCAの一致性とその応用2020
- Author(s)
  矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元小標本における異常値の検出2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] ノイズ掃き出し法による高次元スパースPCAについて2020
- Author(s)
  矢田和善、青嶋誠
- Organizer
  日本学術振興会科学研究費による研究集会「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元データにおけるDistance Weighted Discriminationについて2020
- Author(s)
  江頭健斗, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所研究集会「統計的モデルの新展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正2020
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Organizer
  日本数学会年度会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Clustering by kernel principal component analysis for high-dimensional data2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  日本数学会2020年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元相互共分散行列の特異値推定について2020
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本数学会年度会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Sparse PCA by the noise-reduction methodology2020
- Author(s)
  矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元データにおける異常値の検出について2020
- Author(s)
  中山優吾、矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「機械学習・統計学・最適化の数理とAI技術への展開」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Sparse PCA by the noise-reduction methodology2020
- Author(s)
  矢田和善、青嶋誠
- Organizer
  科研費シンポジウム「大規模複雑データの理論と方法論：最前線の動向と新たな展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元固有ベクトルの検定について2020
- Author(s)
  石井晶、矢田和善、青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元小標本における異常値の検出2020
- Author(s)
  中山優吾，矢田和善，青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K11701
[Presentation] 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正2020
- Author(s)
  江頭健斗，矢田和善，青嶋誠
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] A high-dimensional quadratic classifier by data transformation for strongly spiked eigenvalue models2019
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] A Test of Sphericity for High-Dimensional Data and Its Application for Detection of Divergently Spiked Noise2019
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto、Nakayama Yugo
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] カーネル主成分分析に基づく高次元データのクラスタリングとチューニング2019
- Author(s)
  中山優吾、矢田和善、青嶋　誠
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests for high-dimensional covariance structures based on the eigenstructures2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] データ変換を用いた高次元2次判別方式について2019
- Author(s)
  矢田和善, 石井晶, 青嶋　誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] カーネル主成分分析に基づく高次元データのクラスタリングとチューニング2019
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of High-Dimensional Mean Vectors and Its Application Under the SSE Model2019
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  Waseda International Symposium ``Introduction of General Causality to Various Data & its Applications"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Geometrical quadratic discriminant analysis for high-dimension, strongly spiked eigenvalue models2019
- Author(s)
  矢田和善, 石井晶, 青嶋誠
- Organizer
  科研費シンポジウム「高次元複雑データの統計モデリング」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] A high-dimensional quadratic classifier by data transformation for strongly spiked eigenvalue models2019
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Tests for high-dimensiomal covariance structures under the SSE model2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Asymptotic properties of kernel PCA with Gaussian kernel for high-dimensional data2019
- Author(s)
  中山優吾、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計学と機械学習の数理と展開」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests of high-dimensional correlation matrices on the basis of eigenstructures2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS (基調講演)2019
- Author(s)
  Makoto Aoshima
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00043
[Presentation] 単一強スパイク固有値モデルにおける高次元二標本検定2019
- Author(s)
  石井晶, 矢田和善, 青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of High-Dimensional Correlation Matrices on the Basis of Eigenstructures2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Tests for high-dimensiomal covariance structures under the SSE model2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 単一強スパイク固有値モデルにおける高次元二標本検定2019
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  日本数学会2019年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] A high-dimensional quadratic classifier by data transformation for strongly spiked eigenvalue models2019
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元混合データにおける幾何学的一致性について2019
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K11850
[Presentation] A high-dimensional quadratic classifier under the strongly spiked eigenvalue model2019
- Author(s)
  Yata Kazuyoshi、Ishii Aki、Aoshima Makoto
- Organizer
  The 14th Workshop on Stochastic Models, Statistics and their Application
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Tests for high-dimensiomal covariance structures under the SSE model2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] A Test of Sphericity for High-Dimensional Data and Its Application for Detection of Divergently Spiked Noise2019
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto、Nakayama Yugo
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] データ変換を用いた高次元2次判別方式について2019
- Author(s)
  矢田和善、石井　晶、青嶋　誠
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] 強スパイクモデルにおける固有空間の推測と高次元平均ベクトルの検定2019
- Author(s)
  石井晶, 矢田和善，青嶋　誠
- Organizer
  京都大学数理解析研究所研究集会「最尤法とベイズ法」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の推定2019
- Author(s)
  小西啓介、矢田和善、青嶋　誠
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Asymptotic properties of kernel PCA with Gaussian kernel for high-dimensional data2019
- Author(s)
  中山優吾, 矢田和善，青嶋　誠
- Organizer
  科研費シンポジウム「統計学と機械学習の数理と展開」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 拡張クロスデータ行列法による高次元共分散構造の検定について2019
- Author(s)
  矢田和善，青嶋誠，石井晶
- Organizer
  日本数学会年度会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Geometrical quadratic discriminant analysis for high-dimension, strongly spiked eigenvalue models2019
- Author(s)
  矢田和善、石井　晶、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「高次元複雑データの統計モデリング」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Tests for high-dimensional covariance structures based on eigenstructures2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS2019
- Author(s)
  Aoshima Makoto
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] A high-dimensional quadratic classifier under the strongly spiked eigenvalue model2019
- Author(s)
  Kazuyoshi Yata, Aki Ishii, Makoto Aoshima
- Organizer
  The 14th Workshop on Stochastic Models, Statistics and their Application
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 単一強スパイク固有値モデルに対する高次元平均ベクトルの2標本検定2019
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Organizer
  科研費シンポジウム「統計的推測および確率解析に関する総合的研究」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of high-dimensional mean vectors and its application under the SSE model2019
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Waseda International Symposium“Introduction of General Causality to Various Data & its Applications”
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 強スパイク固有値モデルにおける高次元共分散行列の推定2019
- Author(s)
  小西啓介, 矢田和善, 青嶋　誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 単一強スパイク固有値モデルに対する高次元平均ベクトルの2標本検定2019
- Author(s)
  石井　晶、矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計的推測および確率解析に関する総合的研究」
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Non-Sparse Modeling for High-Dimensional Data2019
- Author(s)
  Aoshima Makoto
- Organizer
  Waseda International Symposium ``Introduction of General Causality to Various Data & its Applications"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS2019
- Author(s)
  Aoshima Makoto
- Organizer
  The 7th International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure2019
- Author(s)
  Ishii Aki、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 3rd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] A high-dimensional quadratic classifier under the strongly spiked eigenvalue model2019
- Author(s)
  Yata Kazuyoshi、Ishii Aki、Aoshima Makoto
- Organizer
  The 14th Workshop on Stochastic Models, Statistics and their Application
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 高次元混合データにおける幾何学的一致性について2019
- Author(s)
  矢田和善、青嶋　誠
- Organizer
  日本数学会2019年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-19K22837
[Presentation] カーネル主成分分析に基づく高次元データのクラスタリングについて2019
- Author(s)
  中山優吾, 矢田和善，青嶋　誠
- Organizer
  京都大学数理解析研究所研究集会「最尤法とベイズ法」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元混合データにおける幾何学的一致性について2019
- Author(s)
  矢田和善，青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation2018
- Author(s)
  Aoshima Makoto
- Organizer
  2018 Workshop on High-Dimensional Statistical Analysis
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Tests for high-dimensional covariance matrices and correlation matrices under the strongly spiked eigenvalue model2018
- Author(s)
  石井晶, 矢田和善，青嶋誠
- Organizer
  科研費シンポジウム「融合する統計科学」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] A high-dimensional quadratic classifier after feature selection2018
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 計量生物学における高次元統計解析の可能性2018
- Author(s)
  青嶋　誠、矢田和善、仲木　竜
- Organizer
  2018年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元固有値推定におけるバイアス補正について2018
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本数学会2018年度年会
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-dimensional statistical analysis: Spiked models and data transformation.2018
- Author(s)
  Aoshima, M.
- Organizer
  The 2nd International Conference on Econometrics and Statistics, City University of Hong Kong,
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] A high-dimensional quadratic classifier after feature selection2018
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元カーネル主成分分析の漸近的性質とその応用2018
- Author(s)
  中山優吾, 矢田和善, 青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of high-dimensional mean vectors under the SSE model2018
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Equality tests for high-dimensional covariance matrices2018
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 27th South Taiwan Statistics Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs.2018
- Author(s)
  Aoshima, M.
- Organizer
  Workshop on High-Dimensional Statistical Analysis, Academia Sinica, Taiwan,
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] ノイズ掃き出し法を用いた高次元共分散行列の同等性検定2018
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  日本数学会2018年度年会
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 高次元平均ベクトルの一致推定について2018
- Author(s)
  矢田和善，青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] カーネル主成分分析に基づく高次元データのクラスタリング2018
- Author(s)
  中山優吾, 矢田和善，青嶋　誠
- Organizer
  科研費シンポジウム「予測モデリングとその周辺 -機械学習・統計科学・情報理論からのアプローチ-」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 計量生物学における高次元統計解析の可能性2018
- Author(s)
  青嶋　誠
- Organizer
  2018年度統計関連学会連合大会，中央大学
- Invited
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] Consistency properties of regularized noise reduction methodology in high-dimensional settings2018
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 4th International Society of NonParametric Statistics Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Consistency properties of regularized noise reduction methodology in high-dimensional settings2018
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The Fourth Conference of the International Society for Nonparametric Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Regularized PCA for high-dimensional data based on the noise reduction methodology2018
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Fifth Institute of Mathematical Statistics Asia Pacific Rim Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model2018
- Author(s)
  Kazuyoshi Yata, Makoto Aoshima, Aki Ishii
- Organizer
  The 9th International Workshop on Applied Probability
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] High-dimensional statistical analysis: Spiked models and data transformation2018
- Author(s)
  Aoshima Makoto
- Organizer
  The 2nd International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model2018
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The Ninth International Workshop on Applied Probability
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs2018
- Author(s)
  Aoshima Makoto
- Organizer
  2018 Workshop on High-Dimensional Statistical Analysis
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Equality tests for high-dimensional covariance matrices2018
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 27th South Taiwan Statistics Conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元共分散構造に関する検定の一般化について2018
- Author(s)
  矢田和善，青嶋誠，石井晶
- Organizer
  科研費シンポジウム「多変量データ解析法における理論と応用」
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 変数選択を用いた高次元2次判別方式について2018
- Author(s)
  矢田和善，青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Tests of high-dimensional mean vectors under the SSE model2018
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  International Symposium on Statistical Theory and Methodology for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues2018
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  Waseda International Symposium“Introduction of General Causality to Various Data & its Innovation of the Optimal Inference”
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] New techniques in high-dimensional statistical analysis2018
- Author(s)
  Aoshima Makoto
- Organizer
  Waseda International Symposium ``Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] A quadratic classifier for high-dimensional data under the strongly spiked eigenvalue model2018
- Author(s)
  石井晶, 矢田和善，青嶋誠
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元固有値推定におけるバイアス補正とその応用2018
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所研究会「Statistical Inference and Modelling」
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-Dimensional Statistical Analysis by Non-Sparse Modeling2018
- Author(s)
  Aoshima, M., Yata, K.
- Organizer
  Waseda International Symposium “Recent Developments in Time Series Analysis: Quantile Regression, High Dimensional Data & Causality”
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] High-dimensional statistical analysis under spiked models2018
- Author(s)
  Aoshima Makoto
- Organizer
  The Fourth Conference of the International Society for Nonparametric Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation.2018
- Author(s)
  Aoshima, M.
- Organizer
  Workshop on High-Dimensional Statistical Analysis, Academia Sinica, Taiwan,
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues2018
- Author(s)
  Aki Ishii、Yata Kazuyoshi、Aoshima Makoto
- Organizer
  Waseda International Symposium ``Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference"
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] Asymptotic properties of SVM with Gaussian kernel for high-dimensional data2018
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「生命・自然科学における複雑現象解明のための統計的アプローチ」
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Equality tests of high-dimensional covariance matrices with strongly spiked eigenstructures2018
- Author(s)
  Aki Ishii, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 2nd International Conference on Econometrics and Statistics
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] Strongly spiked eigenvalueモデルにおける高次元相関ベクトルの検定について2018
- Author(s)
  石井晶, 矢田和善, 青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 計量生物学における高次元統計解析の可能性2018
- Author(s)
  青嶋誠, 矢田和善, 仲木竜
- Organizer
  統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-18K03409
[Presentation] 高次元データにおける非線形SVM について2018
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所研究会「Statistical Inference and Modelling」
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 拡張クロスデータ行列法による高次元共分散行列の検定問題について2018
- Author(s)
  遠藤紘平, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所研究会「Statistical Inference and Modelling」
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-dimensional statistical analysis under spiked models.2018
- Author(s)
  Aoshima, M.
- Organizer
  The Fourth Conference of the International Society for Nonparametric Statistics, Salerno, Southern Italy,
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H05290
[Presentation] Regularized PCA for high-dimensional data besed on the noise-reduction methodology2018
- Author(s)
  Yata Kazuyoshi、Aoshima Makoto
- Organizer
  The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元データにおけるバイアス補正非線形SVM について2017
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Regularized noise-reduction methodology in high-dimensional settings2017
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  Waseda International Symposium “Recent Developments for Statistical Asymptotic Theory for Time Series & Circular Distributions”
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] スパース性に基づくノイズ掃き出し法について2017
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計学, 機械学習の数理とその応用」
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元小標本におけるSVM について2017
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会「Bayes Inference and Its Related Topics」
- Place of Presentation
  京都大学（京都府京都市）
- Year and Date
  2017-03-06
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Equality tests of covariance matrices based on eigenstructures in the highdimensional context2017
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「大規模複雑データの理論と方法論，及び，関連分野への応用」
- Invited
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 高次元固有ベクトルの一致性について2017
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本数学会2017年度年会
- Place of Presentation
  首都大学東京（東京都八王子市）
- Year and Date
  2017-03-25
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Asymptotic properties of support vector machines in high-dimension, low-sample-size settings2017
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  日本数学会2017年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元固有ベクトルの推定とその応用2017
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会「Bayes Inference and Its Related Topics」
- Place of Presentation
  京都大学（京都府京都市）
- Year and Date
  2017-03-06
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元統計解析：理論・方法論とその周辺2017
- Author(s)
  青嶋　誠
- Organizer
  2017年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元空間における特徴ベクトルの一致推定について2017
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15K11992
[Presentation] 高次元小標本におけるバイアス補正SVM2017
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計的モデリングと計算アルゴリズムの数理と展開」
- Place of Presentation
  名古屋大学（愛知県名古屋市）
- Year and Date
  2017-02-18
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元空間における特徴ベクトルの一致推定ついて2017
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元データにおける固有空間の構造に基づいた共分散行列の同等性検定2017
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  日本数学会2017年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] High-dimensional statistical analysis based on the inference of eigenstructures2017
- Author(s)
  Aoshima, M.
- Organizer
  Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes & Quantile Analysis for Time Series”
- Place of Presentation
  早稲田大学（東京都新宿区）
- Year and Date
  2017-02-28
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Asymptotic normality for inference on high-dimensional mean vectors under the SSE model2017
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  日本数学会2017年度秋季総合分科会
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 高次元統計解析：理論・方法論とその周辺（日本統計学会賞受賞者記念講演）2017
- Author(s)
  青嶋　誠
- Organizer
  2017年度統計関連学会連合大会
- Invited
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] High-Dimensional Correlation Tests with Sample Size Determination2017
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  The Sixth International Workshop in Sequential Methodologies
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 統計学の話題と研究の可能性2017
- Author(s)
  青嶋　誠
- Organizer
  CiRfSE ワークショップ「数理科学の話題と研究の可能性」
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2017-01-24
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] PCA based clustering for ultrahigh-dimensional data2017
- Author(s)
  Aoshima, M., Yata, K.
- Organizer
  The 1st International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-dimensional Statistical Analysis for the SSE Model2017
- Author(s)
  Aoshima, M.
- Organizer
  A Symposium on Complex Data Analysis 2017
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K19956
[Presentation] 高次元固有空間の推測と高次元統計解析2017
- Author(s)
  青嶋　誠
- Organizer
  第11回日本統計学会春季集会
- Place of Presentation
  政策研究大学院大学（東京都港区）
- Year and Date
  2017-03-05
- Invited
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元固有値・固有ベクトルの一致推定量について2017
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「統計的モデリングと計算アルゴリズムの数理と展開」
- Place of Presentation
  名古屋大学（愛知県名古屋市）
- Year and Date
  2017-02-18
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-dimensional classification in non-sparse settings2016
- Author(s)
  Aoshima, M.
- Organizer
  Kumamoto International Symposium “High Dimensional Statistical Analysis and Quantile Analysis for Time Series”
- Place of Presentation
  熊本大学（熊本県熊本市）
- Year and Date
  2016-03-04
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Effective Classifiers for High-Dimensional Non-Sparse Data2016
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  International Conference on Information Complexity and Statistical Modeling in High Dimensions with Applications
- Place of Presentation
  Cappadocia (Turkey)
- Year and Date
  2016-05-20
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] High-dimensional two-sample tests under strongly spiked eigenvalue models2016
- Author(s)
  青嶋　誠
- Organizer
  研究集会「大規模統計モデリングと計算統計III」
- Place of Presentation
  東京大学（東京都目黒区）
- Year and Date
  2016-09-27
- Invited
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Estimation of a signal matrix for high-dimensional data2016
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  日本数学会2016年度年会
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2016-03-19
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Statistical inference in strongly spiked eigenvalue models2016
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  International Symposium “Statistical Analysis for Large Complex Data”
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2016-11-23
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元小標本におけるサポートベクターマシンの漸近的性質とバイアス補正2016
- Author(s)
  中山　優吾・矢田　和善・青嶋　誠
- Organizer
  統計関連学会連合大会
- Place of Presentation
  金沢大学（石川県金沢市）
- Year and Date
  2016-09-05
- Data Source
  KAKENHI-PROJECT-15K11992
[Presentation] 高次元小標本におけるサポートベクターマシンの漸近的性質とバイアス補正2016
- Author(s)
  中山優吾, 矢田和善, 青嶋　誠
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学（石川県金沢市）
- Year and Date
  2016-09-05
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Reconstruction of a high-dimensional low-rank matrix2016
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  2016年度統計関連学会連合大会
- Place of Presentation
  金沢大学（石川県金沢市）
- Year and Date
  2016-09-07
- Invited
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Inference on high-dimensional covariance structures with fewer observations than the dimension2016
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes and Quantile Analysis forTime Series”
- Place of Presentation
  早稲田大学（東京都新宿区）
- Year and Date
  2016-03-01
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Reconstruction of a high-dimensional low-rank matrix and its applications2016
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes, Quantile and Empirical Likelihood Analysis for Time Series
- Place of Presentation
  早稲田大学（東京都新宿区）
- Year and Date
  2016-10-25
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Inference on High-Dimensional Covariance Structures via the Extended Cross-Data-Matrix Methodology2016
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  The Eighth International Workshop on Applied Probability
- Place of Presentation
  Toronto (Canada)
- Year and Date
  2016-06-23
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元の統計学(再び)2016
- Author(s)
  青嶋　誠
- Organizer
  「統計数理および金融数理研究」セミナー
- Place of Presentation
  早稲田大学（東京都新宿区）
- Year and Date
  2016-04-25
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Strongly spiked eigenvalueモデルにおける高次元判別分析について2016
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  日本数学会秋季総合分科会
- Place of Presentation
  関西大学千里山キャンパス（大阪府吹田市）
- Year and Date
  2016-09-18
- Data Source
  KAKENHI-PROJECT-15K11992
[Presentation] Strongly spiked eigenvalue モデルにおける高次元判別分析について2016
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本数学会2016年度秋季総合分科会
- Place of Presentation
  関西大学（大阪府吹田市）
- Year and Date
  2016-09-18
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Reconstruction of a high-dimensional low-rank matrix2016
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  統計関連学会連合大会
- Place of Presentation
  金沢大学（石川県金沢市）
- Year and Date
  2016-09-07
- Data Source
  KAKENHI-PROJECT-15K11992
[Presentation] Reconstruction of a signal matrix for high-dimensional data and its applications2016
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会「Statistical Inference on Divergence Measures and Its Related Topics」
- Place of Presentation
  京都大学（京都府京都市）
- Year and Date
  2016-03-07
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元の統計学2016
- Author(s)
  青嶋　誠
- Organizer
  日本数学会2016年度年会市民講演会
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2016-03-19
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元小標本における変数選択について2016
- Author(s)
  中山優吾，矢田和善，青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会「Statistical Inference on Divergence Measures and Its Related Topics」
- Place of Presentation
  京都大学（京都府京都市）
- Year and Date
  2016-03-07
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] スパイクノイズと高次元統計解析2016
- Author(s)
  青嶋　誠, 矢田和善
- Organizer
  日本学術振興会科学研究費による研究集会「数理統計ひこね2016」
- Place of Presentation
  滋賀大学（滋賀県彦根市）
- Year and Date
  2016-12-02
- Invited
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元小標本における第１主成分の漸近的性質と平均ベクトルの検定2015
- Author(s)
  石井　晶，矢田和善，青嶋　誠
- Organizer
  2015 年度統計関連学会連合大会
- Place of Presentation
  岡山大学（岡山県岡山市）
- Year and Date
  2015-09-08
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] High-Dimensional Quadratic Classifiers in Non-Sparse Settings under Heteroscedasticity2015
- Author(s)
  Aoshima, M.
- Organizer
  ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”
- Place of Presentation
  Graz （Austria)
- Year and Date
  2015-07-15
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Two-sample tests of high-dimensional means under the strongly spiked eigenvalue model2015
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes and Quantile Analysis for Time Series”
- Place of Presentation
  早稲田大学（東京都新宿区）
- Year and Date
  2015-11-10
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-Dimensional Quadratic Classifiers in Non-Sparse Settings under Heteroscedasticity2015
- Author(s)
  M. Aoshima
- Organizer
  ISNPS Meeting“Biosciences, Medicine, and novel Non-Parametric Methods”
- Place of Presentation
  Graz (Austria)
- Year and Date
  2015-07-15
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26330033
[Presentation] 非スパース性と高次元データの分類2015
- Author(s)
  青嶋　誠
- Organizer
  第18回情報論的学習理論ワークショップ
- Place of Presentation
  つくば国際会議場（茨城県つくば市）
- Year and Date
  2015-11-25
- Invited
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] 高次元二標本問題における最適性について2015
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  日本数学会2015年度秋季総合分科会
- Place of Presentation
  京都産業大学（京都府京都市）
- Year and Date
  2015-09-15
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-dimensional quadratic classifiers in non-sparse settings2015
- Author(s)
  青嶋　誠
- Organizer
  研究集会「大規模統計モデリングと計算統計」
- Place of Presentation
  東京大学（東京都）
- Year and Date
  2015-02-07
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] High-dimensional inference on covariance structures via the extended cross-data-matrix methodology2015
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  2015年度統計関連学会連合大会
- Place of Presentation
  岡山大学（岡山県岡山市）
- Year and Date
  2015-09-07
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] High-dimensional two-sample tests in general settings2015
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「大規模複雑データの理論と方法論：最前線の動向」
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2015-11-16
- Data Source
  KAKENHI-PROJECT-15H01678
[Presentation] Principal component analysis based clustering for high-dimension, low-sample-size data2015
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  第9回日本統計学会春季集会
- Place of Presentation
  明治大学（東京都）
- Year and Date
  2015-03-08
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 高次元データの統計数理2015
- Author(s)
  青嶋　誠
- Organizer
  筑波大学数理物質融合科学センター数理連携サロン
- Place of Presentation
  筑波大学（茨城県つくば市）
- Year and Date
  2015-12-02
- Invited
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元二標本問題における最適性について2015
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  日本数学会秋季総合分科会
- Place of Presentation
  京都産業大学（京都府京都市）
- Year and Date
  2015-09-15
- Data Source
  KAKENHI-PROJECT-15K11992
[Presentation] PCA Consistency for High-Dimensional Multiclass Mixture Models and its Applications2015
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”
- Place of Presentation
  Graz (Austria)
- Year and Date
  2015-07-13
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Statistical Methods for Heterogeneous Data2015
- Author(s)
  Aoshima, M.
- Organizer
  ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”
- Place of Presentation
  Graz (Austria)
- Year and Date
  2015-07-15
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] High-dimensional inference on covariance structures via2015
- Author(s)
  矢田　和善・青嶋　誠
- Organizer
  2015年度統計関連学会連合大会
- Place of Presentation
  岡山大学（岡山県岡山市）
- Year and Date
  2015-09-07
- Data Source
  KAKENHI-PROJECT-15K11992
[Presentation] Extended cross-data-matrix methodology for high-dimensional data and its applications2015
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会「New Advances in Statistical Inference and Its Related Topics」
- Place of Presentation
  京都大学（京都府）
- Year and Date
  2015-03-10
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元ダータにおける拡張クロスデータ行列法の漸近的性質とその応用について2015
- Author(s)
  矢田和善・青嶋　誠
- Organizer
  日本数学会年会
- Place of Presentation
  明治大学駿河台キャンパス
- Year and Date
  2015-03-24
- Data Source
  KAKENHI-PROJECT-24650146
[Presentation] High-Dimensional Quadratic Classifiers in Non-Sparse Settings2015
- Author(s)
  Aoshima, M.
- Organizer
  Workshop on Statistical Methods for Large Complex Data
- Place of Presentation
  Kaohsiung (中華民国)
- Year and Date
  2015-03-13
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Reconstruction of a low-rank matrix for the power spiked model in high-dimensional settings2015
- Author(s)
  村山　航, 矢田和善, 青嶋　誠
- Organizer
  京都大学数理解析研究所RIMS研究集会「New Advances in Statistical Inference and Its Related Topics」
- Place of Presentation
  京都大学（京都府）
- Year and Date
  2015-03-09
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元データにおける拡張クロスデータ行列法の漸近的性質とその応用について2015
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本数学会2015年度年会
- Place of Presentation
  明治大学（東京都）
- Year and Date
  2015-03-24
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Quadratic-Type Classifications for High-Dimensional Data2014
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  The 3rd IMS Asia Pacific Rim Meeting
- Place of Presentation
  Taipei (中華民国)
- Year and Date
  2014-07-02
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 高次元データの分類-判別分析とクラスター分析の諸問題と高次元現象2014
- Author(s)
  青嶋　誠
- Organizer
  The Applied Statistics Workshop 2014
- Place of Presentation
  東京大学（東京都）
- Year and Date
  2014-12-19
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 高次元データに対する特徴選択を用いた2次判別法について2014
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  2014年度統計関連学会連合大会
- Place of Presentation
  東京大学（東京都）
- Year and Date
  2014-09-14
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Quadratic-Type Classifications for Non-Gaussian, High-Dimensional Data2014
- Author(s)
  M. Aoshima
- Organizer
  Second Conference of the International Society of NonParametric Statistics
- Place of Presentation
  Cadiz, Spain
- Year and Date
  2014-06-13
- Invited
- Data Source
  KAKENHI-PROJECT-26330033
[Presentation] 高次元混合分布におけるPCAとその応用2014
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  日本数学会2014年度秋季総合分科会
- Place of Presentation
  広島大学（広島県）
- Year and Date
  2014-09-28
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] 高次元小標本における共分散行列の同等性検定2014
- Author(s)
  石井　晶, 矢田和善, 青嶋　誠
- Organizer
  日本数学会2014年度秋季総合分科会
- Place of Presentation
  広島大学（広島県）
- Year and Date
  2014-09-28
- Data Source
  KAKENHI-PROJECT-26540010
[Presentation] Quadratic-Type Classifications for High-Dimensional Data2014
- Author(s)
  K. Yata, M. Aoshima
- Organizer
  The 3rd IMS Asia Pacific Rim Meeting
- Place of Presentation
  Taipei, Taiwan
- Year and Date
  2014-07-02
- Invited
- Data Source
  KAKENHI-PROJECT-26330033
[Presentation] Quadratic-Type Classifications for Non-Gaussian, High-Dimensional Data2014
- Author(s)
  Aoshima, M.
- Organizer
  Second Conference of the International Society of NonParametric Statistics
- Place of Presentation
  Cadiz (スペイン王国)
- Year and Date
  2014-06-13
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Effective Methodologies for High-Dimensional Data and their Applications2013
- Author(s)
  Aoshima, M
- Organizer
  STOR Colloquium
- Place of Presentation
  University of North Carolina (アメリカ合衆国)
- Year and Date
  2013-07-15
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Discussion on Professor Shelemyahu Zacks' Talk2012
- Author(s)
  Aoshima, M
- Organizer
  The Sixth International Workshop on Applied Probability
- Place of Presentation
  Inbal Hotel Jerusalem (イスラエル国)
- Year and Date
  2012-06-13
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Effective Classification for High-Dimension, Non-Gaussian Data2012
- Author(s)
  Aoshima, M
- Organizer
  The 2nd IMS Asia Pacific Rim Meeting
- Place of Presentation
  つくば国際会議場(茨城県)
- Year and Date
  2012-07-03
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Effective Methodologies for High-Dimensional Statistical Inference2011
- Author(s)
  Aoshima, M.
- Organizer
  Joint Meeting of the 2011 Taipei International Statistical Symposium and 7th Conference of the Asian Regional Section of the IASC
- Place of Presentation
  Academia Sinica, Taipei, Taiwan(招待講演)
- Year and Date
  2011-12-17
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Efifective Classification for High-Dimension, Non-Gaussian Data and Sample Size Determination2011
- Author(s)
  Aoshima, M.
- Organizer
  Third International Workshop in Sequential Methodologies 2011
- Place of Presentation
  Stanford University, CA, U.S.A.(招待講演)
- Year and Date
  2011-06-15
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 高次元小標本の統計学(応用編)2010
- Author(s)
  青嶋誠
- Organizer
  日本学術振興会科学研究費による研究集会「数理統計学の新たな展開」
- Place of Presentation
  大宮ソニックシティー(埼玉県)
- Year and Date
  2010-07-23
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Two-stage inference methods for large p, small n scenarios : Part II2010
- Author(s)
  Aoshima, M.
- Organizer
  The Fifth International Workshop im Applied Probability
- Place of Presentation
  Madrid, Spain(招待講演)
- Year and Date
  2010-07-05
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 高次元小標本の統計学(基礎編)2010
- Author(s)
  青嶋誠
- Organizer
  統計数理研究所共同研究集会「統計サマーセミナー2010」
- Place of Presentation
  伊豆長岡ホテルサンバレー富士見(静岡県)(招待講演)
- Year and Date
  2010-08-02
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Intrinsic dimensionality estimation of high dimension,low sample size data with geometric representation2008
- Author(s)
  Makoto Aoshima
- Organizer
  International IISA Conference
- Place of Presentation
  Univ. of Connecticut U.S.A.
- Year and Date
  2008-05-24
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Eigenvalue estimation in HDLSS context and its applications2008
- Author(s)
  Aoshima, M.
- Organizer
  日本学術振興会日露共同研究プロジェクト研究集会
- Place of Presentation
  広島大学
- Year and Date
  2008-11-04
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Eigenvalue estimation in HDLSS context and its applications2008
- Author(s)
  Makoto Aoshima
- Organizer
  日本学術振興会日露共同研究プロジェクト
- Place of Presentation
  広島大学
- Year and Date
  2008-11-04
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Intrinsic dimensionality estimation of high dimension, low sample size data with geometric representation2008
- Author(s)
  Aoshima, M.
- Organizer
  International IISA Conference, University of Connecticut
- Place of Presentation
  Connecticut, U.S.A.
- Year and Date
  2008-05-24
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Asymptotic second-order consistency for two-stage estimation methodologies and its applications2007
- Author(s)
  Aoshima, M.
- Organizer
  The 56th Session of the International Statistical Institute, Lisboa Congress Centre
- Place of Presentation
  Lisboa, Portugal
- Year and Date
  2007-08-25
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Asymptotic second-order consistency for two-stage methodologies via covariance structures2007
- Author(s)
  Aoshima, M.
- Organizer
  First International Workshop in Sequential Methodologies
- Place of Presentation
  Auburn, U.S.A.
- Year and Date
  2007-07-25
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Asymptotic second-order consistency for two-stage estimation methodologies and its applications2007
- Author(s)
  Aoshima, M.
- Organizer
  The 56th Session of the International Statistical Institute
- Place of Presentation
  Lisboa Congress Centre Lisboa, Portugal
- Year and Date
  2007-08-25
- Data Source
  KAKENHI-PROJECT-18300092
[Presentation] Misclassification Rate Adjusted Classifiers for High-Dimensional Data
- Author(s)
  矢田　和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「高次元データ解析の理論と方法論，及び，関連分野への応用」
- Place of Presentation
  筑波大学（茨城県）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Eigenvalue Estimation of Large Dimensional Covariance Matrices and Its Applications
- Author(s)
  矢田和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「ランダム作用素のスペクトルと関連する話題」
- Place of Presentation
  京都大学（京都府）
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 主成分スコアに基づく高次元データのクラスタリングについて
- Author(s)
  矢田　和善、青嶋　誠
- Organizer
  2013年度統計関連学会連合大会
- Place of Presentation
  大阪大学（大阪府）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Discussion on Professor Shelemyahu Zacks' Talk
- Author(s)
  Aoshima, M.
- Organizer
  The Sixth International Workshop on Applied Probability
- Place of Presentation
  Inbal Hotel Jerusalem （イスラエル）
- Invited
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Effective Methodologies for High-Dimensional Data and their Applications
- Author(s)
  Aoshima, M.
- Organizer
  STOR Colloquium
- Place of Presentation
  University of North Carolina （アメリカ合衆国）
- Invited
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Effective PCA for High-Dimensional Data and Its Applications
- Author(s)
  Aoshima, M., Yata, K.
- Organizer
  59th ISI World Statistics Congress
- Place of Presentation
  Hong Kong Convention and Exhibition Centre （中華人民共和国香港特別行政区）
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] 高次元小標本データの統計学
- Author(s)
  青嶋　誠，矢田和善
- Organizer
  2012年度統計関連学会連合大会講演報告集
- Place of Presentation
  北海道大学, 札幌
- Invited
- Data Source
  KAKENHI-PROJECT-23500343
[Presentation] Misclassification Rate Adjusted Classifier for Multiclass, High-Dimensional Data
- Author(s)
  M. Aoshima
- Organizer
  The Sixth International Workshop on Applied Probability
- Place of Presentation
  Jerusalem, Israel
- Invited
- Data Source
  KAKENHI-PROJECT-23500343
[Presentation] Effective Methodologies for High-Dimensional Data
- Author(s)
  Aoshima, M.
- Organizer
  Fourth International Workshop in Sequential Methodologies
- Place of Presentation
  University of Georgia, Georgia, U.S.A.
- Invited
- Data Source
  KAKENHI-PROJECT-23500343
[Presentation] Effective Classification for High-Dimension, Non-Gaussian Data
- Author(s)
  Aoshima, M.
- Organizer
  The 2nd IMS Asia Pacific Rim Meeting
- Place of Presentation
  つくば国際会議場（茨城県）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Asymptotic normality for inference on high-dimensional mean vectors under mild conditions
- Author(s)
  矢田和善、青嶋　誠
- Organizer
  日本数学会2013年度秋季総合分科会
- Place of Presentation
  愛媛大学（愛媛県）
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Quadratic-Type Classifications for Non-Gaussian, High-Dimensional Data
- Author(s)
  Aoshima, M., Yata, K.
- Organizer
  2nd International Society of NonParametric Statistics
- Place of Presentation
  Hotel Valentín Sancti Petri Spa&Convention Centre （スペイン王国）
- Invited
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] PCA consisitency for the power spiked model in high-dimensional settings
- Author(s)
  矢田和善・青嶋　誠
- Organizer
  第７回日本統計学会春季集会
- Place of Presentation
  学習院大学
- Invited
- Data Source
  KAKENHI-PROJECT-24650146
[Presentation] Cluster analysis for multiclass, high-dimension, low-sample-size data
- Author(s)
  矢田　和善、青嶋　誠
- Organizer
  京都大学数理解析研究所研究会「Asymptotic Statistics and Its Related Topics」
- Place of Presentation
  京都大学 (京都府）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] Effective PCA for high-dimensional data and its applications
- Author(s)
  Aoshima, M and Yata, K.
- Organizer
  The 59th World Statistics Congress of the International Statistical Institute
- Place of Presentation
  Hong Kong Convention and Exhibition Centre, China
- Invited
- Data Source
  KAKENHI-PROJECT-23340022
[Presentation] On the Distribution of the Largest Eigenvalue via Geometric Representation in High-Dimension, Low Sample Size Context
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本学術振興会科学研究費による研究集会「高次元データ解析の理論と方法論，及び，関連分野への応用」
- Place of Presentation
  筑波大学（茨城県）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] 高次元小標本における最大固有値の分布とその応用
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  京都大学数理解析研究所研究会「Asymptotic Statistics and Its Related Topics」
- Place of Presentation
  京都大学 (京都府）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] 高次元データの2次判別分析について
- Author(s)
  矢田　和善、青嶋　誠
- Organizer
  日本数学会2014年度年会
- Place of Presentation
  学習院大学（東京都）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] 高次元データの2次判別分析について
- Author(s)
  矢田和善・青嶋　誠
- Organizer
  日本数学会年会
- Place of Presentation
  学習院大学
- Data Source
  KAKENHI-PROJECT-23340022
[Presentation] PCA Consistency for the Power Spiked Model in High-Dimensional Settings
- Author(s)
  矢田和善，青嶋　誠
- Organizer
  第7回日本統計学会春季集会
- Place of Presentation
  学習院大学, 東京
- Invited
- Data Source
  KAKENHI-PROJECT-23500343
[Presentation] Cluster Analysis for High-Dimensional, Non-Gaussian Data
- Author(s)
  矢田和善, 青嶋　誠
- Organizer
  RIMS共同研究による研究会「Asymptotic Expansions for Various Models and Their Related Topics」
- Place of Presentation
  京都大学（京都府）
- Data Source
  KAKENHI-PROJECT-23650142
[Presentation] 高次元小標本データの統計学 (日本統計学会研究業績賞受賞者講演)
- Author(s)
  青嶋　誠
- Organizer
  2012年度統計関連学会連合大会
- Place of Presentation
  北海道大学（北海道）
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Misclassification Rate Adjusted Classifier for Multiclass, High-Dimensional Data
- Author(s)
  Aoshima, M.
- Organizer
  The Sixth International Workshop on Applied Probability
- Place of Presentation
  Inbal Hotel Jerusalem（イスラエル）
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] New PCAs for High-Dimensional Data
- Author(s)
  Aoshima, M.
- Organizer
  Workshop on Statistics for High-Dimensional and Dependent Data
- Place of Presentation
  National Taiwan University （中華民国）
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] PCA Consistency for High-Dimensional Data under the Power Spiked Model
- Author(s)
  Yata, K., Aoshima, M.
- Organizer
  Korea Statistical Society Semi-Annual Meeting
- Place of Presentation
  Dongguk University （大韓民国）
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Effective Methodologies for High-Dimensional Data
- Author(s)
  Aoshima, M.
- Organizer
  Fourth International Workshop in Sequential Methodologies
- Place of Presentation
  University of Georgia （アメリカ合衆国）
- Invited
- Data Source
  KAKENHI-PROJECT-22300094
[Presentation] Power spiked　モデルをもつ高次元データの固有値推定について
- Author(s)
  矢田和善・青嶋　誠
- Organizer
  日本数学会年会
- Place of Presentation
  京都大学吉田キャンパス
- Data Source
  KAKENHI-PROJECT-23340022
[Presentation] 高次元小標本の幾何学的表現と最大固有値の漸近分布
- Author(s)
  石井　晶、矢田　和善、青嶋　誠
- Organizer
  日本数学会2013年度秋季総合分科会
- Place of Presentation
  愛媛大学（愛媛県）
- Data Source
  KAKENHI-PROJECT-23650142

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Aoshima Makoto 青嶋 誠

AOSHIMA Makoto 青嶋 誠

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大規模複雑データの理論と方法論の深化と展開Principal Investigator

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Developments of statistical compression technology for massive data having tensor structuresPrincipal Investigator

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Innovative Developments of Theories and Methodologies for Large Complex DataPrincipal Investigator

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Tackling individualized modeling with ultra-high dimensional dataPrincipal Investigator

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New developments for big data by non-sparse modelingPrincipal Investigator

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Theories and Methodologies for Large Complex DataPrincipal Investigator

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Aoshima Makoto 青嶋誠

AOSHIMA Makoto 青嶋誠