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Fujikoshi Yasunori  藤越 康祝

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FUJIKOSHI Yasunori  藤越 康祝

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Researcher Number 40033849
Other IDs
External Links
Affiliation (Current) 2022: 広島大学, 先進理工系科学研究科(理), 名誉教授
Affiliation (based on the past Project Information) *help 2016 – 2020: 広島大学, 理学研究科, 名誉教授
2012 – 2015: 広島大学, 理学(系)研究科(研究院), 名誉教授
2010 – 2012: 広島大学, 大学院・理学研究科, 名誉教授
2010 – 2011: 広島大学, 名誉教授
2007 – 2009: Chuo University, 理工学部, 客員教授 … More
2008: 広島大学, 名誉教授
2005: Hiroshima University, Emeritus Professor, 名誉教授
2004: Hiroshima Univ., Graduate School of Science, Professor, 大学院・教育学研究科, 教授
2000 – 2004: Hiroshima Univ., Graduate School of Science, Professor, 大学院・理学研究科, 教授
2001: 広島大学, 大学院・理学研究院, 教授
2001: Hiroshima University, Department of Mathematics, Professor, 理学部, 教授
2000 – 2001: Graduate School of Science, Hiroshima University, Professor, 理学研究科, 教授
1986 – 1999: Professor, Department of Science, Hiroshima University, 理学部, 教授 Less
Review Section/Research Field
Principal Investigator
General mathematics (including Probability theory/Statistical mathematics) / Statistical science / Statistical science / Statistical science
Except Principal Investigator
General mathematics (including Probability theory/Statistical mathematics) / Statistical science / Statistical science / Economic statistics / 統計学 / 代数学・幾何学 / Economic statistics / Geometry / Statistical science
Keywords
Principal Investigator
成長曲線モデル / 漸近展開 / 判別分析 / 共分散構造 / 変数選択法 / 変数選択 / 誤差評価 / モデル選択 / 高次元漸近分布 / 多変量回帰モデル … More / 情報量規準 / 誤差限界 / 改良変換 / 高次元漸近理論 / 多変量モデル / 正準相関分析 / モデル選択規準 / 主成分分析 / 高次元漸近的枠組 / 統計的推測 / growth curve model / 統計的推則 / 経時測定デ-タ / 統計計算 / 標本分布 / 統計分布 / 誤判別確率 / T二乗統計量 / 線形変換変量 / 多変量線形仮説検定統計量 / 変数選択問題 / 高次元推測問題 / SIR法 / 次元縮小型回帰モデル / 罰金つき推測法 / 共分散行列検定統計量 / 固有値の漸近分布 / 判別解析 / 多変量線形仮説 / AIC型基準 / MANOVA推定統計量 / 高次元情報量基準 / 高次元小標本 / 正準相関 / 経時データモデル / 高次元判別分析 / 関数関係モデル / 重相関 / グラフィカルモデル / 条件付独立性構造 / 多項ロジット回帰 / 環境データ分析 / モデル選択問題 / 経時データ分析問題 / 高次元問題 / 多変量モデルの選択 / プロファイル分析法 / ランダム係数モデル / 平行性モデル / 平滑化 / 正規対称行列データ / 多変量線形モデル / 判別分析モデル / 高次元性一致性 / 冗長性検定 / 規準量の一致性 / AIC規準 / Cp規準 / 高次元漸近的枠 / 確率分布 / 密度関数 / 分布関数 / 近似理論 / 確率系と力学系 / 多変量成長曲線 / フラクタル集合 / ハウスドルフ次元 / 反応拡散方程式 / モンジュ・アンペ-ル方程式 / マルチン境界 / 結び目 / エルゴ-ド理論 / 自己相似性 / 安定過程 / ランダムフラクタル / 多粒子モデル / 分布の漸近展開 / ホップ分岐 / 中立型方程式 / 非線形半群 / 摂動論 / Stochastic System and Dynamic System / Growth Curve Model / Fractal Set / Hausdorff Dimension / Reaction Diffusion System / Monge-Ampere Equation / Martin Boundary / Knot / 多変量非正規モデル / 多変量分散分析モデル / 正準相関モデル / ランジュバン分布 / 不等式制約 / セミパラメトック回帰モデル / ロバストネス / セミパラメトリック回帰モデル / 多変量1元配置モデル / 回帰モデル / ノンパラメトリック推定 / ロバスト推定 / 経時データ解析 / Multivariate nonnormal models / Statistical inference / Multivariate analusis of variance / Canonical correlation model / Lagevin distribution / Inequality restriction / Semi-parametric regression model / Robustness / 経時データ / 推測 / ヒトの成長 / 階層構造 / ソフトウェア / アンバランスデータ / ソフトウェア開発 / ランダム係数共分散構造 / 非線型モデル / 永久歯損失データ / 拡長成長曲線モデル / モデル選択基準 / 信頼領域 / 一般化線形モデル / repeated mesures data / statistical inference / model selection / human phisical growth / covariance structure / hierarchical structure / software / 漸近理論 / 多変量解析 / MANOVA検定 / AIC基準 / ノンパラメトリック回帰 / リモートセンシングデータ / 多変量非正規性 / 多変量検定統計量 / スプライン曲線 / 画像処理データ / 統計的漸近理論 / 非正規モデル / 高次元データ解析 / 非線形構造 / 地球環境データ解析 / 画像処理 / 統計グラフ / 非正規性 / 高次元 / 多変量線形仮説検定 / 多変1元配置モデル / 判別関数 / asymptotic theory / multivariate analysis / asymptotic exapansion / MANOVA tests / AIC criterion / nonparametric regression / remote sensing data / 一つ取って置き法 / 高次元漸近枠組 / 1つ取って置き法 / 高次元多変量モデル / 高次元一致性 / 検定型変数選択規準 / 統計数学 … More
Except Principal Investigator
成長曲線モデル / 多変量解析 / Cointegration / 実験計画 / ブロックデザイン / Block Design / Model selection / 情報量基準 / Asymptotic Expansion / 高次元漸近理論 / シミュレーション / 高次元多変量解析 / 非線形モデリング / 力学系 / 漸近展開 / 成長曲線 / モデル選択 / 共分散構造 / 無作為化 / 統計モデル / 混合モデル / 分散分析 / 統計科学 / 組合せ論 / Experimental Design / Randomization / Statistical Model / Mixed Model / Analysis of Variance / Statistical Science / Combinatorial Theory / mid-growth spurt / 平滑化 / 情報量規準 / Smoothing / Repeated measurements / Growth curve models / Hierarchical structure / Random coefficient model / Monotone missing data / Sex ratio / 経時測定データ / 検定 / 画像解析 / Multivariate analysis / cokriging / data fusion / filtering / penalized likelihood / shrinkage estimate / smoothing / unmixing / B-spline smoothing / Multiple regression / Growth Curve Model / BIBD / PBIBD / 非線形回帰モデル / 高次元データ / MCP / FDR / スムージング / Time Series Analysis / 変数選択 / 統計教育 / 初等・中等教育 / 新学習指導要領 / 教育の情報化 / 教育の国際化 / 数学教育 / e-learning / 社会の需要 / 新指導要領 / 国際比較 / 学校教育 / 知識創造社会 / 指導要領 / 社会における需要度調査 / 算数・数学教育課程 / 統計専門家のコアコンピテンシ / 統計教育の共同指針 / 高次元多変量データ / 高次元推測理論 / 高次元モデリング手法 / 計量経済統計 / 多変量モデル / 構造方程式モデル / 計量経済手法 / 尤度比統計量 / 高次元モデリング / 共分散構造分析 / パネル構造方程式 / ベイズ推定 / 潜在構造モデル / 正準相関係数 / パーミュテーション法 / ブートストラップ法 / 固有値の同等性検定 / 主成分の次元 / 同時方程式モデル / 関数関係モデル / 多変量時系列 / 因果性検定 / RPC / マネーサプライ / 名目GNP / コールレート / 多様体 / トポロジー / リー群の位相 / ホモトピー論 / H空間 / 偶然現象 / カオス的現象 / 確率論 / エルゴード理論 / 統計力学の数学的基礎 / 微分方程式 / 単位根の検定 / 非定常時系列 / 非線型回帰モデル / 財政政策 / 金融政策 / マクロモデル / co-integration / IS-LMモデル / マクロ経済モデル / 非線型回帰 / co-integration(共和分) / unit root(単位根) / error correction / マクロ計量モデル / 政府支出 / 自己回帰モデル / Coーintegration(共和分) / unitroot(単位根) / 政府支出乗数 / Unit root test / Co-integration / Non-stationary Time series / Asymptotic expansion / Non-linear regression / Fiscal Policy / Monetary policy / Macro model / 数学用語 / 学術用語集 / 学術用語の標準化 / 数学用語データベース / 数学用語データ・ベース / Mathematical Terms / Japanese Scientific Terms / 見える幾何学 / 3・4次元多様体 / 情報幾何学 / 計算幾何学 / 曲面の変形 / 境界面 / 2次元結び目 / 見える 幾何学 / 3次元空間 / 曲線・曲面 / 情報幾何 / 計算幾何 / 4次元空間 / 幾何学センター / 境界面の構造 / 曲線の曲面 / Visible geometry / 3- amd 4-manifolds / Information geomtry / Comutational geometry / Boundary surface / Deformation of surfaces / 2-dimensional knot / 繰り返し観察データ / 分散構造解析 / コンピュータソフトウェア / 混合効果モデル / ウィンドウズ対応 / 多項式モデル / Growth curve model / Mixed effect model / Random coefficient regression / Covariance structure / Extended MANOVA / 統計的推測 / 順序制約 / 不等式制約 / 多変量正規分布 / 検定統計量 / 最尤推定量 / 分布の近似 / 回帰モデル / Statistical inference / Order restrictions / Inequality restrictions / Multivariate normal distribution / Simulation / Test statistic / Maximum likelihood estimator / Approximation of distribution / 成長模型 / 身長 / 体重 / 初潮 / 生物学的成長母数 / 成長記録 / 初潮時身長 / 生物学的母数 / アルカリフォスファターゼ / 総コレステロール / アルカリフォスファターゼ値 / 総コレステロール値 / 成長記録データバンク / mathematical growth model / height / weight / growth records / biological growth parameters / menarche / menarcheal height / 非線形 / 回帰分析 / ノンパラメトリック / スプライン / ベイズ / データ変換 / 生存時間 / ニューラルネット / 非線形回帰分析 / 逆回帰 / 生存時間解析 / 角度データ分析 / 部分直線回帰 / 情報量現準 / 統計グラフィックス / Nonlinear / Regression Analysis / Nonparametrics / Spline / Bayes / Data Transformation / Life Time / 生物効果比の区間推定 / 変動効果モデル / モデル選択基準 / 欠測値処理 / 多次元データ構造 / Interval estimation of RBE / 推定量 / 情報量 / 逐次解析 / 時系列 / 数理ファイナンス / 組合せ理論 / 計算機支援型推測 / 非正規性 / ノンパラメトリック推測 / 時系列解析 / 金融 / 特異モデル / 最尤推定 / 非正則モデル / 有限標本論 / 統計的モデリング / ベイズ法 / 逐次推定 / 空間データ / ベイズ推測 / 推定 / 逐次推測 / 統計的モデル / 漸近有効性 / Estimator / Test / Information amount / Sequential analysis / Time series / Mathematical finance / Combinatorics / deforestation / penalized likelibood / segrnentation / Bayes linear model / Denoising / Low-pass filter / Shrinkage estimator / Wavelet matrix / 次元縮約 / 住宅価格データの解析 / Nonparametric Regression / Projection Persuit / sliced Inverse Regression / Standardized Mortality Ratio / 主要点解析 / Sliced Inverse Regression / Projction Pursuit Regression / Nonlinear regression / Multi-dimensional data / Exploratory data analysis / Semiparametric regression / Dimension reduction / Nonparametric regression / Principal point analysis / Projection pursuit / Semiparametric analysis / Sliced inverse regression / 漸近分布 / 因子分析 / 環境統計 / データマイニング / 計量ファイナンス / Quality of Life / 高次元データ解析 / 医学・薬学統計学 / 統計的方法 / 漸近理論 / 環境統計データ / 多変量グラフィカル法 / QOL測定 / Asymptotic distribution / Factor Analysis / Non-ilinear statistical modeling / environmental statistics / Data-mining / Measurement finance / Quality of Liufe / 経時測定 / ランダム効果 / Repeated Measures / Random Effects / Covariance Structure / 実験計画法 / 構成法 / 分解可能性 / 組分け型ブロック計画 / 巣型デザイン / Design of Experiment / Construction / Resolvability / Group Divisible Block Design / Nested Designs / 変数選択問題 / 多変量回帰モデル / 空間モデル / AIC基準 / 高次元推測問題 / ベイズ型モデル評価基準 / ロジスティック回帰モデル / Multivariate Analysis / Variable Selection / Multivariate Lenear Model / Spatial Model / Nonlinear Model / Information Criterion / High Dimensional Data / アイソトニック回帰 / 正規確率場 / オイラー標数法 / 画像分析 / 大規模データ / 多重比較 / ランダムフィールド / 遺伝子データ / 同時推測 / 関数データ解析 / 動画像 / 動作分析 / Isotonic Regression / Gaussian Random Field / Euler Characteristic / Image Analysis / Large-scale Data / ARMA Process / Causality Test / Maximum Likelihood Estimator / ARMA process / 長期記憶時系列 / 為替レ-トモデル / 分数正規ノイズ(FGN) / 分数階差ARIMA / 検定力 / cointegration / 補助統計量 / ペリオドグラム / R / S-分析 / 直物為替レ-ト / 長期記憶時系列モデル / 為替レート / Hurst係数 / 非線型最小2乗推定量 / ARMA / Long-memory Time Series / Exchange Rate Model / FGN / Fractional ARIMA / Power Function / Ancillary Statistic / 反応拡散方程式の数値シミュレ-ション / 数値シミュレ-ションの動画化処理 / 界面パタ-ンの数値解析 / 数値シミュレーションの動画化処理 / 界面パターンの数値計算 / Numerical simulations of reaction-diffusion equations / Visualization of numerical simulations / Numerical study of Interfacial patterns / 高次元多変量線形回帰モデル / 非負値行列因子分解 / 正則化 / フィルタリング / ファクターモデル / BNP検定統計量 / グラフ正則化 / パネル回帰分析 / 高次元漸近展開 / 操作変数法 / 罰則付分位点回帰 / 経時データ / トレンド推定 / 非負値行列分解 / 次元削減 / 次元削減操作変数法 / 時空間統計解析 / 変化係数モデル / スパース推定 / 一般化加法モデル / 時空間データ解析 / Fused lasso / データの偏り / 区間推定 / 正準相関変化係数モデル / 多次元地理経時データ / ミンククジラ / 統計数学 / 海洋生態 Less
  • Research Projects

    (41 results)
  • Research Products

    (165 results)
  • Co-Researchers

    (126 People)
  •  Statistical Analysis of High-Dimensional Data

    • Principal Investigator
      YAMADA HIROSHI
    • Project Period (FY)
      2016 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Economic statistics
    • Research Institution
      Hiroshima University
  •  Variable selection methods in high-dimensional multivariate models and their applicationsPrincipal Investigator

    • Principal Investigator
      Yasunori FUJIKOSHI
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Hiroshima University
  •  Multivariate varying coefficient model and its application to physical state data of minke whale in the northeast Atlantic Ocean

    • Principal Investigator
      Yamamura Mariko
    • Project Period (FY)
      2016 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Radiation Effects Research Foundation
      Hiroshima University
  •  High-Dimensional Statistical Inference for Multivariate Models and Its ApplicationsPrincipal Investigator

    • Principal Investigator
      Fujikoshi Yasunori
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Hiroshima University
  •  New Development of Statistical Theory in Multivariate Data Analysisand Its ApplicationsPrincipal Investigator

    • Principal Investigator
      FUJIKOSHI Yasunori
    • Project Period (FY)
      2010 – 2012
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Hiroshima University
  •  Statistical Inference for High-Dimensional Data and Its Applications

    • Principal Investigator
      SUGIYAMA Takakazu
    • Project Period (FY)
      2009 – 2011
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Economic statistics
    • Research Institution
      Soka University
      Chuo University
  •  高次元リサンプリング法の統計的基礎と応用

    • Principal Investigator
      杉山 高一
    • Project Period (FY)
      2009
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Economic statistics
    • Research Institution
      Chuo University
  •  Study on construction and applications of high-dimensional information criteriaPrincipal Investigator

    • Principal Investigator
      FUJIKOSHI Yasunori
    • Project Period (FY)
      2007 – 2009
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Chuo University
  •  A Study on Developing a Curriculum System for Statistics Education According to the International Standard in the Information Age

    • Principal Investigator
      WATANABE Michiko
    • Project Period (FY)
      2005 – 2008
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Toyo University
  •  Basic theory and applications for the problem of variable selection in multivariate analysisPrincipal Investigator

    • Principal Investigator
      WAKAKI Hirofumi, 藤越 康祝
    • Project Period (FY)
      2003 – 2005
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  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
  •  多変量解析における高次元漸近理論の開発と応用に関する研究Principal Investigator

    • Principal Investigator
      藤越 康祝
    • Project Period (FY)
      2002 – 2004
    • Research Category
      Grant-in-Aid for Exploratory Research
    • Research Field
      Statistical science
    • Research Institution
      Hiroshima University
  •  A development of some systematic method of constructing statistical design of experiments and its application

    • Principal Investigator
      KAGEYAMA Sanpei
    • Project Period (FY)
      2002 – 2004
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  integrated research with the theory applications of statistics

    • Principal Investigator
      SUGIYAMA Takakazu
    • Project Period (FY)
      2000 – 2001
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Statistical science
    • Research Institution
      CHUO UNIVERSITY
  •  A study of the development of asymptotic theory in multivariate analysis and its applicationsPrincipal Investigator

    • Principal Investigator
      FUJIKOSHI Yasunori
    • Project Period (FY)
      2000 – 2002
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Study on Random-Effects Models for Repeated Measures Data

    • Principal Investigator
      YOKOYAMA Takahisa
    • Project Period (FY)
      2000 – 2001
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      TOKYO GAKUGEI UNIVERSITY
  •  Denoising of time series data based on Bayes models using wavelets

    • Principal Investigator
      NISHII Ryuei
    • Project Period (FY)
      1999 – 2000
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Study of semiparametic multiple regression using SIR-PPR algorithm

    • Principal Investigator
      OHTAKI Megu
    • Project Period (FY)
      1999 – 2000
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Hiroshima 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
  •  The theory of growth data analysis and the development of its softwaresPrincipal Investigator

    • Principal Investigator
      FUJIKOSHI Yasunori
    • Project Period (FY)
      1998 – 2000
    • Research Category
      Grant-in-Aid for Scientific Research (B).
    • Research Field
      Statistical science
    • Research Institution
      Hiroshima University
  •  統計分布の漸近展開近似に関する誤差評価の研究Principal Investigator

    • Principal Investigator
      藤越 康祝
    • Project Period (FY)
      1997 – 1998
    • Research Category
      Grant-in-Aid for Exploratory Research
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      Hiroshima University
  •  Unified theory for analysis in designs and its applications

    • Principal Investigator
      KAGEYAMA Sampei
    • Project Period (FY)
      1997
    • Research Category
      Grant-in-Aid for international Scientific Research
    • Research Field
      Statistical science
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Study on Theory of Nonlinear Statistical Models and Its Applications

    • Principal Investigator
      SHIRAHATA Shingo
    • Project Period (FY)
      1997 – 1999
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      OSAKA UNIVERSITY
  •  Study of Model Selection in Regression Analysis for Repeated Measurements

    • Principal Investigator
      OHTAKI Megu
    • Project Period (FY)
      1997 – 1998
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Unified theory for analysis in designs and its applications

    • Principal Investigator
      KAGEYAMA Sampei
    • Project Period (FY)
      1996
    • Research Category
      Grant-in-Aid for international Scientific Research
    • Research Institution
      Hiroshima University
  •  A STUDY OF PREDICTING HUMAN PHYSICAL GROWTH AND JUVENILE DISEASES WITH AGING

    • Principal Investigator
      SHOHOJI Takao
    • Project Period (FY)
      1996 – 1998
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Applied Geometry

    • Principal Investigator
      MATUMOTO Takao
    • Project Period (FY)
      1995 – 1998
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Geometry
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Development of Computer Software for Analyzing Growth Curve Date.

    • Principal Investigator
      OHTAKI Megu
    • Project Period (FY)
      1995 – 1996
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Theory of statistical inference in the case where there are order restrictions on parameters

    • Principal Investigator
      SASABUCHI Syoichi
    • Project Period (FY)
      1995 – 1996
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Research on Standardization of Mathematical Terms

    • Principal Investigator
      OKAMOTO Kazuo
    • Project Period (FY)
      1993 – 1995
    • Research Category
      Grant-in-Aid for Co-operative Research (A)
    • Research Institution
      The University Of Tokyo
  •  A study of statistical inference in multivariate nonnormal modelsPrincipal Investigator

    • Principal Investigator
      FUJIKOSHI Yasunoro
    • Project Period (FY)
      1993 – 1994
    • Research Category
      Grant-in-Aid for General Scientific Research (B)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      HIROSHIMA,UNIVERSITY
  •  経時測定デ-タの推測理論と応用に関する研究Principal Investigator

    • Principal Investigator
      藤越 康祝
    • Project Period (FY)
      1991
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      Hiroshima University
  •  Theory and Applications of Statical Inference for Economic Time Series

    • Principal Investigator
      MAEKAWA Koichi
    • Project Period (FY)
      1991 – 1993
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      Economic statistics
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Mathematical Analysis of Stochastic and Dynamic SystemsPrincipal Investigator

    • Principal Investigator
      FUJIKOSHI Yasunori, 十時 東生
    • Project Period (FY)
      1989 – 1990
    • Research Category
      Grant-in-Aid for General Scientific Research (B)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      Hiroshima University
  •  確率分布の近似理論と応用に関する研究Principal Investigator

    • Principal Investigator
      藤越 康祝
    • Project Period (FY)
      1988
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      Hiroshima University
  •  Long-memory time series; its foundations and applications to economics.

    • Principal Investigator
      OKAMOTO Masanori
    • Project Period (FY)
      1988 – 1989
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      統計学
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  Visualization-system of spatio-temporal patterns in natural sciences

    • Principal Investigator
      MIMURA Masayasu
    • Project Period (FY)
      1988 – 1989
    • Research Category
      Grant-in-Aid for Developmental Scientific Research
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      HIROSHIMA UNIVERSITY
  •  偶然現象とカオス的現象の数学的解析

    • Principal Investigator
      十時 東生
    • Project Period (FY)
      1987
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      Hiroshima University
  •  経済時系列における因果性検定の理論的基礎と応用

    • Principal Investigator
      OKAMOTO Masanori B.
    • Project Period (FY)
      1986
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      統計学
    • Research Institution
      Hiroshima University
  •  多様体のトポロジーと種々の構造

    • Principal Investigator
      菅原 正博
    • Project Period (FY)
      1986
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      代数学・幾何学
    • Research Institution
      Hiroshima University
  •  Analysis of Time Series Data: Theory and its Applications

    • Principal Investigator
      MAEKAWA Koichi
    • Project Period (FY)
      1985 – 1986
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      統計学
    • Research Institution
      HIROSHIMA UNIVERSITY

All 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 Other

All Journal Article Presentation Book

  • [Book] R・Pythonによる 統計データ科学2020

    • Author(s)
      杉山髙一、藤越康祝
    • Total Pages
      272
    • Publisher
      勉誠出版
    • ISBN
      9784585240112
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Book] 多変量データ解析2014

    • Author(s)
      杉山高一、藤越康祝、小椋透
    • Total Pages
      230
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Book] 多変量モデルの選択2012

    • Author(s)
      藤越康祝、杉山高一
    • Total Pages
      208
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Book] 質的データの判別分析:数量化2類2011

    • Author(s)
      菅民郎、藤越康祝
    • Total Pages
      264
    • Publisher
      現代数学社
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Book] 質的データの判別分析:数量化 2 類2011

    • Author(s)
      菅民郎、藤越康祝
    • Total Pages
      264
    • Publisher
      現代数学社
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Book] 多変量モデルの選択2011

    • Author(s)
      藤越康祝・杉山高一
    • Total Pages
      208
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Book] 多変量モデルの選択2011

    • Author(s)
      藤越康祝・杉山高一
    • Total Pages
      208
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Book] 質的データの判別分析:数量化2類2011

    • Author(s)
      菅民郎、藤越康祝
    • Total Pages
      264
    • Publisher
      現代数学社
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Book] 多変量モデルの選択2011

    • Author(s)
      藤越康祝、杉山高一
    • Total Pages
      208
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Book] Multivariate Analysis : High-dimensional and Large-Sample Approximations2010

    • Author(s)
      藤越康祝
    • Total Pages
      533
    • Publisher
      Wiley, INC, Publication
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Book] Multivariate Analysis : High-dimensional and Large-Sample Approximations2010

    • Author(s)
      Yasunori Fujikoshi, Vladimir V. Ulyanov, Ryoichi Shimizu
    • Total Pages
      533
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Book] Multivariate Statistics-High-Dimensional and Large-Sample Approximations-2010

    • Author(s)
      Yasunori Fujikoshi, Vladimir V.Ulyanov, Ryoichi Shimizu
    • Total Pages
      533
    • Publisher
      WILEY
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Book] Multivariate Analysis : High-dimensional and Large-Sample Approximations2010

    • Author(s)
      藤越康祝
    • Total Pages
      533
    • Publisher
      Wiley, INC, Publications
    • Data Source
      KAKENHI-PROJECT-21653018
  • [Book] ultivariate Analysis: High-dimensional and Large-Sample Approximations2010

    • Author(s)
      藤越康祝, Vladimir V. Ulyanov, 清水良一
    • Publisher
      Wiley, INC, Publication
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Book] Multivariate Analysis : High-dimensional and Large-Sample Approximations2010

    • Author(s)
      藤越康祝
    • Total Pages
      533
    • Publisher
      Wiley
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Book] 経時データ解析の数理2009

    • Author(s)
      藤越 康祝
    • Total Pages
      207
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Book] 経時データ解析の数理2009

    • Author(s)
      藤越康祝
    • Total Pages
      207
    • Publisher
      朝倉書店
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Book] Model selection criteria for growth curve model withhierachical within-individuals design matrices.(H. Yanai et al., Ed) In New Developments on Psychometrics2003

    • Author(s)
      Fujikoshi, Y.
    • Publisher
      Springer-Verlag Tokyo Inc.
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Strong consistency of log-likelihood-based information criterion in high-dimensional canonical correlation analysis2021

    • Author(s)
      Oda Ryoya、Yanagihara Hirokazu、Fujikoshi Yasunori
    • Journal Title

      Sankhya A

      Volume: - Pages: 109-127

    • DOI

      10.1007/s13171-019-00174-3

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18J12123, KAKENHI-PROJECT-18K03415, KAKENHI-PROJECT-16H03606
  • [Journal Article] A consistent variable selection method in high-dimensional canonical discriminant analysis2020

    • Author(s)
      Oda Ryoya、Suzuki Yuya、Yanagihara Hirokazu、Fujikoshi Yasunori
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 175 Pages: 104561-104561

    • DOI

      10.1016/j.jmva.2019.104561

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K03415, KAKENHI-PROJECT-16H03606, KAKENHI-PROJECT-18J12123, KAKENHI-PROJECT-16K00048
  • [Journal Article] Computable Error Bounds for Asymptotic Approximations of the Quadratic Discriminant Function2020

    • Author(s)
      Fujikoshi Yasunori
    • Journal Title

      Hiroshima Mathematical Journal

      Volume: 19-06 Pages: 1-16

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Journal Article] A fast algorithm for optimizing ridge parameters in a generalized ridge regression by minimizing a model selection criterion2020

    • Author(s)
      Ohishi Mineaki、Yanagihara Hirokazu、Fujikoshi Yasunori
    • Journal Title

      Journal of Statistical Planning and Inference

      Volume: 204 Pages: 187-205

    • DOI

      10.1016/j.jspi.2019.04.010

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18K03415, KAKENHI-PROJECT-16H03606, KAKENHI-PROJECT-16K00048
  • [Journal Article] Consistency of test-based method for selection of variables in high-dimensional two group-discriminant analysis2019

    • Author(s)
      Y. Fujikoshi, T. Sakurai
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: 印刷中

    • NAID

      210000178548

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] A fast algorithm for optimizing ridge parameters in a generalized ridge regression by minimizing a model selection criterion2019

    • Author(s)
      M. Ohishi, H. Yanagihara, Y. Fujikoshi
    • Journal Title

      Journal of Statistical Planning and Inference

      Volume: 印刷中

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Asymptotic null and non-null distributions of test statistics for redundancy in high-dimensional canonical correlation analysis2019

    • Author(s)
      R. Oda, H. Yanagihara, Y. Fujikoshi
    • Journal Title

      Random Matrices: Theory and Applications

      Volume: 8 Pages: 1950001-1950026

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Limiting behavior of eigenvalues in high-dimensional MANOVA via RMT2018

    • Author(s)
      Z. Bai, P.K. Choi, Y. Fujikoshi
    • Journal Title

      Ann. Statist.

      Volume: 46 Pages: 2985-3013

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis2018

    • Author(s)
      Z. Bai, P.K. Choi, Y. Fujikoshi
    • Journal Title

      Ann. Statist.

      Volume: 46 Pages: 1050-1076

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis2018

    • Author(s)
      Zhidong Bai, Kwok Pui Choi, and Yasunori Fujikoshi
    • Journal Title

      The Annals of Statistics

      Volume: 46(3) Pages: 1050-1076

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Journal Article] High-dimensional asymptotic behavior of the difference between the log-dterminants of two Whishart matrices2018

    • Author(s)
      Z. Bai, K.P. Choi, Y. Fujikoshi
    • Journal Title

      Ann. Statist.

      Volume: 46 Pages: 1050-1076

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Asymptotic null and non-null distributions of test statistics for redundancy in high-dimensional canonical correlation analysis2018

    • Author(s)
      Oda Ryoya、Yanagihara Hirokazu、Fujikoshi Yasunori
    • Journal Title

      Random Matrices: Theory and Applications

      Volume: 08 Pages: 1950001-1950001

    • DOI

      10.1142/s2010326319500011

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K00048, KAKENHI-PROJECT-18J12123
  • [Journal Article] High-dimensional properties of AIC, BIC and Cp for estimation of dimensionality in canonical correlation analysis2017

    • Author(s)
      Y. Fujikoshi
    • Journal Title

      SUT Journal of Mathematics

      Volume: 53 Pages: 59-72

    • NAID

      120006732552

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Computable error bounds for high-dimensional approximations of an LR statistic for additional information in canonical correlation analysis2017

    • Author(s)
      H. Wakaki and Y. Fujikoshi
    • Journal Title

      Theory of Probability and Its Applications

      Volume: 62(1) Pages: 194-211

    • DOI

      10.4213/tvp5098

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00051, KAKENHI-PROJECT-16H03606
  • [Journal Article] High-dimensional asymptotic behavior of the difference between the log-dterminants of two Whishart matrices2017

    • Author(s)
      H. Yanagihara, R. Oda, Y. Hashiyama, Y. Fujikoshi
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 157 Pages: 70-86

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] High-dimensional asymptotic behaviors of differences between the log-determinants of two Wishart matrices2017

    • Author(s)
      Yanagihara, H., Oda, R., Hashiyama, Y., Fujikoshi, Y.
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 157 Pages: 70-86

    • DOI

      10.1016/j.jmva.2017.03.002

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H03606
  • [Journal Article] High-dimensional consistency of rank estimation criteria in multivariate linear Model2016

    • Author(s)
      Y. Fujikoshi, T.Sakurai
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 150

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] Some properties of estimation criteria for dimensionality in principal component analysis2016

    • Author(s)
      Y. Fujikoshi, T. Sakurai
    • Journal Title

      Amer. J. Math. Manage. Sci

      Volume: 35 Pages: 133-142

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] High-dimensional consistency of rank estimation criteria in multivariate linear model2016

    • Author(s)
      Y. Fujikoshi, T. Sakurai
    • Journal Title

      Journal of Multivariate Anal.ysis

      Volume: 149 Pages: 199-212

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Journal Article] Computable error bounds for high-dimensional approximations of LR test for additional information in canonical correlation analys2016

    • Author(s)
      H. Wakaki, Y. Fujikoshi
    • Journal Title

      Theory of Probability and Its Applications

      Volume: 60

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] Consistency properties of AIC, BIC, Cp and their modifications in the growth curve model under a large-(q, n) framework2015

    • Author(s)
      Rie Enomoto, Tetsuro Sakurai, Yasunori Fujikoshi
    • Journal Title

      SUT Journal of Mathematics

      Volume: 51

    • NAID

      120006397883

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] A consistency property of the AIC for multivariate linear models when the dimension and the sample size are large2015

    • Author(s)
      H. Yanagihara, H, Wakaki and Y. Fujikoshi
    • Journal Title

      The Electronic Journal of Statistics

      Volume: 9 Pages: 869-897

    • DOI

      10.1214/15-ejs1022

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-24500343, KAKENHI-PROJECT-25330038, KAKENHI-PROJECT-25540012
  • [Journal Article] Asymptotic expansions of the distributions of MANOVA tests when the dimension is large2014

    • Author(s)
      Hirofumi Wakaki, Yasunori Fujikoshi, Vladimir V. Ulyanov
    • Journal Title

      Hiroshima Math. J.

      Volume: 44 Pages: 247-259

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] Consistency of high-dimensional AIC-type and C_p-type criteria in multivariate linear regression2014

    • Author(s)
      Yasunori Fujikoshi, Tetsuji Sakurai, Hirokazu Tanagihara
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 123 Pages: 184-200

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] Consistency of high-dimensional AIC-type and Cp-type criteria in multivariate linear regression2014

    • Author(s)
      Yasunori Fujikoshi、Tetsuji Sakurai Hirokazu Yanagihara
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 123 Pages: 184-200

    • DOI

      10.1016/j.jmva.2013.09.006

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038, KAKENHI-PROJECT-25540012
  • [Journal Article] Jackkife bias correction of the AIC for selecting variables in canonical correlation analysis under model misspecication2014

    • Author(s)
      Yusuke Hashiyama, Hirokazu Yanagihara, Yasunori Fujikoshi
    • Journal Title

      Linear Algebra and Its Application

      Volume: 455 Pages: 82-106

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] Consistency of AIC and its modifications in the growth curve model when the number of groups and the sample size are large2013

    • Author(s)
      Rie Enomoto、Tetsurou Sakurai、Yasunori Fujikoshi
    • Journal Title

      SUT Journal of Mathematic

      Volume: 93~107 Pages: 93-107

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Journal Article] A variable selection criteria for two sets of principal component scores in principal canonical correlation analysis2013

    • Author(s)
      Ogura Toru 、 Fujikoshi Yasunori 、Sugiyama Takakazu
    • Journal Title

      Communications in Statistics=Theory and Methods

      Volume: 42 Pages: 1-18

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] High-dimensional AICs for selection of variables in discriminant analysis2013

    • Author(s)
      Sakurai Tetsuro 、 Nakata Takashi 、Fujikoshi Yasunori
    • Journal Title

      Sankhya

      Volume: 75 Pages: 1-25

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] High-dimensional AIC in the growth curve model2013

    • Author(s)
      Yasunori Fujikoshi、Rie Enomoto、Tetsurou Sakurai
    • Journal Title

      Journal of multivariate analysis

      Volume: 122 Pages: 239-250

    • DOI

      10.1016/j.jmva.2013.07.006

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25330038, KAKENHI-PROJECT-25880017
  • [Journal Article] 多変量回帰および正準相関分析における高次元AIC規準2012

    • Author(s)
      藤越康祝
    • Journal Title

      Proceedings of Statistical Inference for High-Dimensional Data and Its Applications(杉山高一編集)(絢文社)

      Volume: 1 Pages: 1-10

    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] Asymptotic distribution of the contribution ratio in high-dimensional principal component analysis2012

    • Author(s)
      Fujikoshi Y., Satoh T. and Sugiyama T.
    • Journal Title

      American Journal mathematical and Management Sciences

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] Asymptotic distribution of the contribution ratio in high-dimensional principal component analysis2012

    • Author(s)
      Fujikoshi Y., Satoh T., Sugiyama T.
    • Journal Title

      American Journal mathematical and Management Sciences

      Volume: 31(巻のみ決定)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] 対応分析における次元と追加情報2012

    • Author(s)
      小椋透、菅民郎、杉山高一、藤越康祝
    • Journal Title

      Proceedings of Statistical Inference for High-Dimensional Data and Its Applications(杉山高一編集)(絢文社)

      Volume: 1 Pages: 94-97

    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] Prediction error criterion for selecting variables in a linear regression model2011

    • Author(s)
      Fujikoshi, Y., et al.
    • Journal Title

      Ann.Inst.Statist.Math.

      Volume: 63 Pages: 387-403

    • NAID

      40018765529

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] High-dimensional asymptotic distribution of test statistic for multivariate linear hypothesis in random-coefficient model2011

    • Author(s)
      Sakurai T., Igeta M., Fujikoshi Y.
    • Journal Title

      Journal of Combinatorics, Information and System Sciences

      Volume: 36 Pages: 49-62

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] High-dimensional asymptotic distribution of test statistic for multivariate linear hypothesis in random-coefficient model2011

    • Author(s)
      Sakurai Tetsuro 、 Igeta Masataka 、Fujikoshi Yasunori
    • Journal Title

      Journal of Combinatorics 、Information and System Sciences

      Volume: 36 Pages: 49-62

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] Prediction error criterion for selecting variables in a linear regression model、Ann. Inst. Statist2011

    • Author(s)
      Fujikoshi Yasunori
    • Journal Title

      Math.

      Volume: 63 Pages: 387-403

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] LR tests for two hypotheses in profile analysis of growth curve data2011

    • Author(s)
      Seo Takashi、 Sakurai Tomoko、 Fujikoshi Yasunori
    • Journal Title

      SUT Journal of Mathematics

      Volume: 47 Pages: 105-118

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] LR tests for two hypotheses in profile analysis of growth curve data2011

    • Author(s)
      Seo T., Sakurai, T., Fujikoshi, Y.
    • Journal Title

      SUT Journal of Mathematics

      Volume: 47 Pages: 105-118

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] High-dimensional asymptotic distribution of test statistic for multivariate linear hypothesis in random-coefficient model2011

    • Author(s)
      Sakurai, T., Igeta, M., Fujikoshi, Y.
    • Journal Title

      Journal of Combinatorics, Information and System Sciences

      Volume: 36 Pages: 49-62

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] LR tests for two hypotheses in profile analysis of growth curve data2011

    • Author(s)
      Seo T., Sakurai, T. and Fujikoshi, Y.
    • Journal Title

      SUT Journal of Mathematics

      Volume: 47巻 Pages: 105-118

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] Prediction error criterion for selecting variables in a linear regression model.2011

    • Author(s)
      藤越康祝
    • Journal Title

      Ann.Inst.Statist.Math.

      Volume: 63 Pages: 387-403

    • NAID

      40018765529

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] High-dimensional asymptotic expansion of LR statistic for testing the in traclass correlation structure and its error bound.2010

    • Author(s)
      Kato, N., Yamada, T., Fujikoshi, Y.
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 101 Pages: 101-112

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] High-dimensional asymptotic expansion of LR statistic for testing the intraclass correlation structure and its error bound2010

    • Author(s)
      Kato Nohiro、 Yamada Tomoyuki、 Fujikoshi Yasunori
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 101 Pages: 101-112

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Journal Article] High-dimensional asymptotic expansions for the distributions of canonical correlations2009

    • Author(s)
      藤越康祝, 櫻井哲朗
    • Journal Title

      J. Multivariate Anal. 100巻

      Pages: 101-112

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] High-dimensional asymptotic expansions for the distributions of canonical correlations2009

    • Author(s)
      Fujikoshi, Y. and Sakurai, T.
    • Journal Title

      J. Multivariate Anal.

      Volume: 100巻 Pages: 231-242

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] High dimensional asymptotic expansions for the distributions of canonical correlations2009

    • Author(s)
      藤越康祝
    • Journal Title

      J.Multivariate Anal. 100

      Pages: 231-242

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Journal Article] Prediction error criterion for selecting of variables in a linear regression model2009

    • Author(s)
      藤越 康祝
    • Journal Title

      Ann. Inst. Statist. Math. (未定)(掲載決定)

    • NAID

      40018765529

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] High-dimensional asymptotic expansions for the distributions of canonical correlations2009

    • Author(s)
      藤越 康祝
    • Journal Title

      J. Multivariate. Anal. 100

      Pages: 231-242

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] Statistical inference for parallelism hypothesis in growth curve model2009

    • Author(s)
      藤越康祝
    • Journal Title

      SUT Journal of Mathematics 45巻

      Pages: 137-148

    • NAID

      120006397981

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] Selection for functional relationship models with different variances2009

    • Author(s)
      杉山高一, 藤越康祝
    • Journal Title

      Journal of the Institute of Science and Engineering, Chuo University 15巻

      Pages: 2-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21653018
  • [Journal Article] Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample2008

    • Author(s)
      藤越康祝, 姫野哲人, 若木宏文
    • Journal Title

      J. Statist. Plann. Inf. 138巻

      Pages: 3457-3466

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] 高次元における独立性の検定と頑健性2007

    • Author(s)
      藤越 康祝
    • Journal Title

      中央大学理工学研究所論文集 13

      Pages: 1-10

    • NAID

      40016691854

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] Asynlptotic distribution of LR statistic for equality of the smallest eigenvalues in high-dimensional principal component analysis2007

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      Journal of Multivariate Analysis 98

      Pages: 2002-2008

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Journal Article] Bias corrections of some criteria for selecting multivariate linear models in a general nonnormal case.2006

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      American Journal of Mathematical and Management Sciences, 25(20(in press)

    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Asymptotics for testing hypothesis in some multivariate variance components model under non-normality.2006

    • Author(s)
      Gupta, A.K., Harrar, W.S., Fujikoshi, Y.
    • Journal Title

      J. Multivariate Analysis 97(1)

      Pages: 148-178

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Error bounds in asymptotic expansions of multivariate scale mixtures and their applications to generalized Hotelling's $T_0~2$.2006

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      J. Multivariate Anal 96

      Pages: 1-19

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] An asymptotic expansion of the distribution of Rao's U-statistic under ageneral condition.2006

    • Author(s)
      Gupta, A.K., Jin Xu, J., Fujikoshi, Y.
    • Journal Title

      J. Multivariate Analysis 97(2)

      Pages: 492-513

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Major challenge to multivariate analysis II : Recent development and perspectives2005

    • Author(s)
      藤越 康祝
    • Journal Title

      J.Japan Statist.Soc. 34・2(未定)

    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Major challenges to multivariate analysis: recent developments and perspectives II. (Japanese).2005

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      J. Japan Statist. Soc. 34 (2)

      Pages: 101-129

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Major challenge to multivariate analysis II : Recent development and perspectives2005

    • Author(s)
      藤越 康祝
    • Journal Title

      J.Japan Statist.Soc. 34・2(未定)

    • Data Source
      KAKENHI-PROJECT-14658082
  • [Journal Article] Prediction Error Criterion for Selecting of Variables in Regression Model.2005

    • Author(s)
      Fujikoshi, Y., Kan, T., Takahashi, S.
    • Journal Title

      Hiroshima Statistical Research Group Technical Report No. 05-06

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Bias corrections of some criteria for selecting multivariate linear models in a general nonnormal case.2005

    • Author(s)
      Fujikoshi, Y., Yanagihara, H., Wakaki, H.
    • Journal Title

      American Journal of Mathematical and Management Sciences 25 (in press)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] 多変量解析へのチャレンジII : 現状と展望.2005

    • Author(s)
      藤越康祝
    • Journal Title

      日本統計学会誌 34(2)

      Pages: 101-129

    • NAID

      110003161623

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Error bounds in asymptotic expansions of multivariate scale mixtures and their applications to generalized Hotelling's $T_0^2$.2005

    • Author(s)
      Fujikoshi, Y., Ulyanov, V.V., Shimizu, Y.
    • Journal Title

      J. Multivariate Anal. 96

      Pages: 1-19

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Prediction Error Criterion for Slecting of Variables in Rgression Model.2005

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      Hiroshima Statistical Research Group Technical Report 05-06

      Pages: 1-17

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Estimation of the eigenvalues of noncentrality parameter matrix in noncentral Wishart distribution.2005

    • Author(s)
      Gupta, A.K., Sheena, Y., Fujikoshi, Y.
    • Journal Title

      J. Multivariate Anal. 93(1)

      Pages: 1-20

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Bias corrections of some criteria for selecting multivariate linear models2004

    • Author(s)
      藤越 康祝
    • Journal Title

      American Journal of Mathematical and Management Sciences 25(未定)

    • Data Source
      KAKENHI-PROJECT-14658082
  • [Journal Article] Multivariate analysis for the case when the dimensionality is large compared to the sample size2004

    • Author(s)
      藤越 康祝
    • Journal Title

      J.Korean Statist.Soc. 33・1

      Pages: 1-24

    • Data Source
      KAKENHI-PROJECT-14658082
  • [Journal Article] Asymptotic results of a high dimensional MANOVA test and power comparison when the dimension is large.2004

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      J. Japan Statist. Soc., 34

      Pages: 19-26

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Multivariate analysis for the case when the dimensionality is large compared to the sample size2004

    • Author(s)
      藤越 康祝
    • Journal Title

      J.Korean Statist.Soc. 33・1

      Pages: 1-24

    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Bias corrections of some criteria for selecting multivariate linear models2004

    • Author(s)
      藤越 康祝
    • Journal Title

      American Journal of Mathematical and Management Sciences 25(未定)

    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Asymptotic expansion of the null distribution of LR statistic for multivariate linear hypothesis when the dimension is large.2004

    • Author(s)
      Tonda, T., Fujikoshi, Y.
    • Journal Title

      Communications in Statistics - Theory and Methods 33

      Pages: 1205-1220

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Multivariate analysis for the case when the dimensionality is large compared to the sample size.2004

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      J. Korean Statist. Soc. 33

      Pages: 1-24

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Asymptotic results of a high dimensional MANOVA test and power comparison when the dimension is large.2004

    • Author(s)
      Fujikoshi, Y, Himeno, T., Wakaki, H.
    • Journal Title

      J. Japan Statist. Soc. 34

      Pages: 19-26

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Estimation of the eigenvalues of noncentrality parameter in matrix variate noncentral beta distribution.2004

    • Author(s)
      Sheena, Y., Gupta, A.K., Fujikoshi, Y.
    • Journal Title

      Ann. Inst. Statist. Math. 56

      Pages: 101-125

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Model selection criteria for growth curve model with hierachical Within-individuals design matrices2003

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      New Developments on Psychometrics

      Pages: 433-442

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14580349
  • [Journal Article] Finite corrections of CV criteria for selecting multivariate regression and growth curve models2003

    • Author(s)
      Fujikoshi, Y., Noguchi, T., Ohtaki, M., Yanagihara, H.
    • Journal Title

      Ann.Inst.Statist.Math. 55

      Pages: 537-553

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300096
  • [Journal Article] Major challenges to multivariate analysis : recent developments and perspectives. (Japanese).2003

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      J. Japan Statist. Soc. 33 (3)

      Pages: 273-306

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Finite corrections of CV criteria for selecting multivariate regression and growth curve models2003

    • Author(s)
      Fujikoshi, Y., Noguchi, T., Ohtaki, M., Yanagihara, H
    • Journal Title

      Ann. Inst. Statist. Math. 55

      Pages: 537-553

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300096
  • [Journal Article] Model selection criteria for growth curve model withhierachical within-individuals design matrices.2003

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      In New Developments on Psychometrics (H. Yanai et al., ED)(Springer-Verlag Tokyo Inc.,)

      Pages: 433-442

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Corrected versions of cross-validation criteria for selecting multivariate regression and growth curve models.2003

    • Author(s)
      Fujikoshi, Y., Noguchi, T., Ohtaki, M., Yanagihara, H.
    • Journal Title

      Annals of the Institute of Statistical Mathematics 55 (3)

      Pages: 537-553

    • NAID

      40005940383

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] 多変量解析へのチャレンジ : 現状と展望.2003

    • Author(s)
      藤越康祝
    • Journal Title

      日本統計学会誌 33(3)

      Pages: 273-306

    • NAID

      110003160803

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Corrected versions of cross-validation criteria for selecting multivariate regression and growth curve models.2003

    • Author(s)
      Fujikoshi, Y.
    • Journal Title

      Annals of the Institute of Statistical Mathematics 55(3)

      Pages: 537-553

    • NAID

      40005940383

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Bias correction of AIC in logistic regression models.2003

    • Author(s)
      Yanagihara, H., Sekiguchi, R., Fujikoshi, Y.
    • Journal Title

      Journal of Statistical Planning and Inference 115 (2)

      Pages: 349-360

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Model selection criteria for growth curve model with hierachical within-individuals design matrices2003

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      New Developments on Psychometrics

      Pages: 433-442

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-14580349
  • [Journal Article] An extension of product-parts replacement problem2002

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      J.Statist.Plann.Inference 106

      Pages: 473-484

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14580349
  • [Journal Article] LR Tests for Some Linear Hypotheses in an Extended Growth Curve Model,

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      American J. Mathematical and Management Science (to appear)

    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] On accuracy of approximations for location and scale mixture

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      J.Math.Sciences (印刷中)

    • Data Source
      KAKENHI-PROJECT-14580349
  • [Journal Article] Bias corrections of some criteria for selecting multivariate Linear models in a general nonnormal case

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      Amer.J.Math.Manage.Sci. (印刷中)

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-14580349
  • [Journal Article] LR Tests for Some Linear Hypotheses in an Extended Growth Curve Model.

    • Author(s)
      Fujikoshi, Y., Kanda, T., Ohtaki, M.
    • Journal Title

      American J. Mathemat'cal and Management Science (to appear)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Multivariate analysis of variance with fewer observations than the dimension.

    • Author(s)
      Srivasutava, M.S., Fujikoshi, Y.
    • Journal Title

      Journal of Multivariate Analysis (to appear in)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Error bounds for asymptotic expansions of Wilks' lambda distribution.

    • Author(s)
      Fujikoshi, Y., Ulyanov, V.V.
    • Journal Title

      Journal of Multivariate Analysis (to appear in)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] MANOVA for large hypothesis degrees of freedom under non-normality.

    • Author(s)
      Gupta, A.K., Harrar, S., Fujikoshi, Y.
    • Journal Title

      Journal of Multivariate Analysis (to appear in)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15300092
  • [Journal Article] Bias corrections of some criteria for selecting multivariate linear models in a general nonnormal case

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      Amer.J.Math.Manage.Sci. (in press)

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-14580349
  • [Journal Article] Bias corrections of some criteria for selecting multivariate Linear models in a general nonnormal case

    • Author(s)
      Y.Fujikoshi
    • Journal Title

      Amer.J.Math.Manage.Sci. (印刷中)

    • Data Source
      KAKENHI-PROJECT-14580349
  • [Presentation] グラフィカルモデルの選択におけるKOO法の適用2019

    • Author(s)
      櫻井哲朗 藤越康祝
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Presentation] 高次元多変量回帰モデルにおける変数と次元の同時選択法2019

    • Author(s)
      藤越康祝 櫻井哲朗
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Presentation] 単調欠測データをもつ成長曲線モデルに関するAIC型選択規準2018

    • Author(s)
      八木文香, 瀬尾隆, 藤越康祝
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 正準判別における一致性を持つ高次元変数の選択法2018

    • Author(s)
      鈴木裕也, 小田凌也, 柳原宏和, 藤越康祝
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 多変量回帰分析や判別分析などにおける新たな変数選択法の提案2018

    • Author(s)
      櫻井哲朗, 藤越康祝
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 多変量回帰分析や判別分析などにおける新たな変数選択法の提案2018

    • Author(s)
      櫻井哲朗, 藤越康祝
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Presentation] 2次判別関数に関する高次元漸近近似の誤差限界2018

    • Author(s)
      藤越康祝
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 2群の線形判別法に関する誤判別確率の高次元漸近ロバストネスについて2018

    • Author(s)
      山田隆行, 櫻井哲朗, 藤越康祝
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 単調欠測データをもつ成長曲線モデルに関するAIC型選択規準2018

    • Author(s)
      八木文香, 瀬尾隆, 藤越康祝
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00048
  • [Presentation] 共分散構造をもつ多変量回帰モデルにおけるCp型の変数選択規準の高次元一致性2017

    • Author(s)
      櫻井哲朗、藤越康祝
    • Organizer
      2017年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] WおよびZ判別法についてー大標本かつ高次元の下で考察2017

    • Author(s)
      山田隆行、櫻井哲朗、藤越康祝
    • Organizer
      2017年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 非正規多変量回帰モデルにおける検定統計量および固有値の高次元かつ大標本のもとでの漸近分布2017

    • Author(s)
      藤越康祝
    • Organizer
      2017年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 判別分析におけるL1ペナルティー及び情報量規準を用いた変数選択の比較2016

    • Author(s)
      落合翔太, 中川智之, 柳原宏和, 藤越康祝
    • Organizer
      2016年度統計関連連合大会
    • Place of Presentation
      金沢大学
    • Year and Date
      2016-09-04
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 共分散構造をもつ多変量回帰モデルにおける変数選択規準の高次元一致性2016

    • Author(s)
      櫻井哲朗, 藤越康祝
    • Organizer
      2016年度統計関連連合大会
    • Place of Presentation
      金沢大学
    • Year and Date
      2016-09-04
    • Data Source
      KAKENHI-PROJECT-16K00047
  • [Presentation] 一様および自己回帰共分散構造をもつ成長曲線モデルに関する高次元推測2015

    • Author(s)
      榎本理恵 櫻井哲朗 藤越康祝
    • Organizer
      2015年度統計関連学会連合大会
    • Place of Presentation
      岡山大学
    • Year and Date
      2015-09-06
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] 主成分分析における次元数の推定2015

    • Author(s)
      櫻井哲朗 藤越康祝
    • Organizer
      2015年度統計関連学会連合大会
    • Place of Presentation
      岡山大学
    • Year and Date
      2015-09-06
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] 情報量規準を用いた次元の推定法の高次元一致性2013

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      大阪大学豊中キャンパス
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] 高次元モデル選択規準2013

    • Author(s)
      藤越康祝
    • Organizer
      第7回統計学会春季集会
    • Place of Presentation
      学習院大学
    • Year and Date
      2013-03-03
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] On the consistency of model selection criteria under a high dimensional Framework2012

    • Author(s)
      Fujikoshi Yasunori
    • Organizer
      International Conference on Advances in InterdisciplinaryStatistics and Combinatorics
    • Place of Presentation
      ノースカロライナ大学グリーンズボロ校、米国
    • Year and Date
      2012-10-07
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] Some topics to be solved in multivariate analysis2012

    • Author(s)
      藤越康祝
    • Organizer
      科研費研究集会「多変量解析の新展開(New developments in multivariate analysis)」
    • Place of Presentation
      てんぶす那覇沖縄県那覇市
    • Year and Date
      2012-01-20
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] High-dimensional approximations of the characteristic roots and vectors in discriminant analysis and and canonical correlation analysis2012

    • Author(s)
      Fujikoshi Yasunori
    • Organizer
      第2回環太平洋地域数理統計会議
    • Place of Presentation
      筑波国際会議場
    • Year and Date
      2012-07-04
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] On the consistency of model selection criteria under a high dimensional framework2012

    • Author(s)
      Fujikoshi, Y.
    • Organizer
      International Conference on Advances in Interdisciplinary Statistics and Combinatorics
    • Place of Presentation
      University of North Carolina, Breensboro
    • Invited
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] 判別分析および正準相関分析における固有値と固有ベクトルの高次元漸近分布2011

    • Author(s)
      藤越康祝
    • Organizer
      2011 年度統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-05
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] 正準相関分析における情報量規準を用いた変数選択法の評価2011

    • Author(s)
      橋山祐亮、柳原宏和、藤越康祝
    • Organizer
      2011年度統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-06
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] Variable Selections and Their Applications for Data Analysis in Principal Canonical Correlation Analysis2011

    • Author(s)
      Ogura, T., Fujikoshi, Y., Sugiyama, T.
    • Organizer
      58th World Congress of the International Statistical Institute
    • Place of Presentation
      Dublin, Ireland
    • Year and Date
      2011-08-23
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 判別分析および正準相関分析における固有値と固有ベクトルの高次元漸近分布2011

    • Author(s)
      藤越康祝
    • Organizer
      2011年度統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-05
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 判別分析および正準相関分析における固有値と固有ベクトルの高次元漸近分布2011

    • Author(s)
      藤越康祝
    • Organizer
      2011年度統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-05
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] 正準相関分析における2組の変数を選択するための情報量規準-候補のモデルが真のモデルを含まない場合-2011

    • Author(s)
      橋山祐亮、柳原宏和、藤越康祝
    • Organizer
      2011年度統計関連学会連合大会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-06
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] High-Dimensional Approximations of the Coefficients on Linear Discriminant Functions and Canonical Correlation Variates2011

    • Author(s)
      Fujikoshi Y.
    • Organizer
      58th World Congress of the International Statistical Institute
    • Place of Presentation
      Dublin, Ireland
    • Year and Date
      2011-08-23
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] High-Dimensional Approximations of the Coefficients on Linear Discriminant Functions and Canonical Correlation Variates2011

    • Author(s)
      Fujikoshi Y.
    • Organizer
      ISI 2011
    • Place of Presentation
      アイルランド
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] ある種の線形混合モデルにおける条件付情報量基準2010

    • Author(s)
      藤越康祝、櫻井哲朗
    • Organizer
      2010年度統計関連学会連合大会
    • Place of Presentation
      早稲田大学、東京
    • Year and Date
      2010-09-08
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 正規対称行列変数に関する推測統計量の漸近的精密化2010

    • Author(s)
      藤越康祝
    • Organizer
      2010年度統計関連学会連合大会
    • Place of Presentation
      早稲田大学、東京
    • Year and Date
      2010-09-07
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 高次元MANOVA問題-RMTの応用2010

    • Author(s)
      藤越康祝
    • Organizer
      日本統計学会
    • Place of Presentation
      早稲田大学 東京
    • Year and Date
      2010-09-08
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 正規対称行列変数に関する推測統計量の漸近的精密化2010

    • Author(s)
      藤越康祝
    • Organizer
      2010年度統計関連学会連合大会
    • Place of Presentation
      早稲田大学、東京
    • Year and Date
      2010-09-07
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] 正規対称行列変数に関する推測統計量の漸近的精密化2010

    • Author(s)
      藤越康祝
    • Organizer
      2010 年度統計関連学会連合大会
    • Place of Presentation
      早稲田大学
    • Year and Date
      2010-09-07
    • Data Source
      KAKENHI-PROJECT-22500259
  • [Presentation] 主成正準相関分析における変数選択基準の最適性2010

    • Author(s)
      小椋透、藤越康祝、杉山高一
    • Organizer
      2010年度統計関連学会連合大会
    • Place of Presentation
      早稲田大学、東京
    • Year and Date
      2010-09-07
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 正準相関分析の追加情報の冗長性に関する検定統計量の分布の漸近展開近似の誤差評価2010

    • Author(s)
      若木宏文、藤越康祝
    • Organizer
      2010年度統計関連学会連合大会
    • Place of Presentation
      早稲田大学、東京
    • Year and Date
      2010-09-07
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 同時方程式モデルにおける高次元漸近理論2009

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会
    • Place of Presentation
      同志社大学, 日本
    • Year and Date
      2009-09-08
    • Data Source
      KAKENHI-PROJECT-21653018
  • [Presentation] 周辺尤度に基づく正準分析の次元の推定2009

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会
    • Place of Presentation
      同志社大学, 日本
    • Year and Date
      2009-09-08
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Presentation] 同時方程式モデルにおける高次元漸近理論2009

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会
    • Place of Presentation
      同志社大学
    • Year and Date
      2009-09-08
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Presentation] 同時方程式モデルにおける高次元漸近理論2009

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会
    • Place of Presentation
      同志社大学
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 同時方程式モデルにおける高次元漸近理論2009

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会
    • Place of Presentation
      同志社大学, 日本
    • Year and Date
      2009-09-08
    • Data Source
      KAKENHI-PROJECT-21330049
  • [Presentation] 高次元での判別分析における冗長性モデルの選択2008

    • Author(s)
      藤越康祝
    • Organizer
      統計関連学会
    • Place of Presentation
      慶応義塾大学
    • Year and Date
      2008-09-08
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Presentation] 高次元での判別分析における冗長性モデルの選択2008

    • Author(s)
      藤越 康祝
    • Organizer
      2008年度統計関連学会連合大会
    • Place of Presentation
      神奈川県
    • Year and Date
      2008-09-08
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Presentation] 判別分析における高次元AIC基準2007

    • Author(s)
      藤越 康祝
    • Organizer
      2007年度統計関連学会連合大会
    • Place of Presentation
      神戸大学
    • Year and Date
      2007-09-08
    • Data Source
      KAKENHI-PROJECT-19500243
  • [Presentation] High-dimensional and large-sample consistency properties of AIC and Cp for estimation of dimensionality in multivariate model

    • Author(s)
      Yasunori Fujikoshi
    • Organizer
      The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Taipei, Taiwon
    • Year and Date
      2014-06-29 – 2014-07-03
    • Invited
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] 成長曲線モデルにおける各規準量の高次元一致性

    • Author(s)
      榎本理恵、櫻井哲朗、藤越康祝
    • Organizer
      2014年度統計関連学会連合大会
    • Place of Presentation
      東京大学
    • Year and Date
      2014-09-13 – 2014-09-16
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] 判別分析における情報量規準を用いた変数選択法の高次元漸近的性質

    • Author(s)
      藤越康祝
    • Organizer
      2014年度統計関連学会連合大会
    • Place of Presentation
      東京大学
    • Year and Date
      2014-09-13 – 2014-09-16
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] 高次元の場合における次元の推定法と漸近的性質

    • Author(s)
      櫻井哲朗、藤越康祝
    • Organizer
      2014年度統計関連学会連合大会
    • Place of Presentation
      東京大学
    • Year and Date
      2014-09-13 – 2014-09-16
    • Data Source
      KAKENHI-PROJECT-25330038
  • [Presentation] Explicit and computable error bounds for asymptotic expansions of the distribution functions of some multivariate satistics

    • Author(s)
      Yasunori Fujikoshi
    • Organizer
      International Scientific Conference "Probability Theory and its Applications
    • Place of Presentation
      Steklov Mathematical Institute and Moscow State University, Moscow, Russia
    • Year and Date
      2015-02-12 – 2015-02-15
    • Invited
    • Data Source
      KAKENHI-PROJECT-25330038
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  • 125.  MEIZ S
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  • 126.  榎本 理恵
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