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eguchi shinto  江口 真透

ORCIDConnect your ORCID iD *help
… Alternative Names

EGUCHI Shinto  江口 真透

江口 真透  エグチ シントウ

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Researcher Number 10168776
Other IDs
External Links
Affiliation (Current) 2022: 統計数理研究所, 医療健康データ科学研究センター, 特任教授
Affiliation (based on the past Project Information) *help 2020 – 2022: 統計数理研究所, 医療健康データ科学研究センター, 特任教授
2005 – 2021: 統計数理研究所, 数理・推論研究系, 教授
2012 – 2016: 統計数理研究所, 大学共同利用機関等の部局等, 教授
2014: 統計数理研究所, 数理推論研究系, 教授
2013: 大学共同利用機関法人 情報・システム研究機構, 統計数理研究所 数理・推論研究系, 教授 … More
2010: 統計数理研究所, 教授
2007 – 2008: 統計数理研究所, 数理推測研究系, 教授
1998 – 2005: 統計数理研究所, 統計基礎研究系, 教授
2002: 文部科学省数理研究所, 教授
2001 – 2002: 文部科学省, 統計数理研究所, 教授
2001: Institute of Statistical Mathmatics, Tokyo Institute of Technology, Professor, 基礎研究系, 教授
2000 – 2001: 文部科学省統計数理研究所, 基礎研究系, 教授
2000: 文部省・統計数理研究所, 教授
1992 – 1993: 島根大学, 理学部, 助教授
1990: 島根大学, 理学部, 助教授 Less
Review Section/Research Field
Principal Investigator
Statistical science / Statistical science / Statistical science / Basic Section 60030:Statistical science-related
Except Principal Investigator
Statistical science / 解析学 / Statistical science / Basic Section 60030:Statistical science-related / 代数学・幾何学 / General mathematics (including Probability theory/Statistical mathematics) / General mathematics (including Probability theory/Statistical mathematics) / Statistical science / Basic Section 12040:Applied mathematics and statistics-related
Keywords
Principal Investigator
遺伝子発現データ / 遺伝子発現 / ブースティング / 機械学習 / SNP / メタアナライシス / バイオインフォマティクス / バイアスモデル / 自己組織化主成分分析 / ゲノムデータ … More / パタン認識 / マイクロアレイ / 効果予測 / 準線形モデル / 一般化平均 / 独立成分分析 / プロテオーム / 関数データ解析 / ブリッジスタディー / システマティックレビュー / マイクロアレイデータ / 公表バイアス / 異型性 / ブリッジングスタディ / 非対称アダブースト / 分類 / パターン認識 / 乳がんサブタイプ / クラスターリング / t-統計量 / 予測 / 高次元 / 高次元小標本 / ROC曲線 / 高次元標本 / 予測スコア / AUC / 順序カテゴリー / スパース学習 / AUCBoost / オミクス データ / 遺伝子ランキング / データ異質性 / 高次元・小標本 / 表現型予測 / 非線形予測 / 準線形回帰モデル / 拡散テンソル画像 / クラスター / 乳がんデータ / ベキエントロピー / ゲノムワイド探索 / 群判別問題 / ガンマ・K-平均 / ロバスト クラスタリング / メタラーニング / Itakura-Saitoダイバージェンス / 特徴ベクトル / 2群判別問題 / 線形判別 / ブースティング法 / 符号和統計量 / 個人化治療 / 局所尤度 / 最尤法 / 密度推定 / カーネル関数 / 生存時間解析 / local likelihood / maximum likelihood / density estimation / kernel function / survival analysis / バイオインフォマチックス / SNPハプロタイピング / アダブースト / 統計学 / DNAマイクロアレイ / 統計推理 / SNPデータ / ロバスト / ニューラルネット / 統計推測 / モデル特異性 / 独立成分解析 / bioinformatics / SNP haplotyping / gene expression data / AdaBoost / independent component analysis / self-organizing PCA / Proteome / functional data analysis / 統計推論 / タンパク発現 / 自己組織化主成分 / 多重比較 / 一塩基多型 / machine learning / statistical inference / Boosting / gene expression / protein expression / proteome / 幾何平均・算術平均 / ポアソン点過程 / 動的治療計画 / 情報幾何 / 混合モデル / クラスタリング / メタ解析 / 最適治療 / 生存解析 / クラスター分析 / 混合化効果モデル / コルモゴロフ / 南雲平均 / マルチモーダル / オミックス データ … More
Except Principal Investigator
データ解析 / Markov random fields / AdaBoost / 機械学習 / 統計 / 統計学 / 情報幾何 / 学習理論 / 多重分光画像 / 統計数学 / プロテオーム / オミックスデータ / 個別化医療 / バイオマーカー / 疫学 / Discriminant analysis / Exponential loss function / Image segmentation / Machine learning / 深層学習 / 関数微分方程式 / 区分的に定数である遅れ項 / レトラクト理論 / ヤング・ミルズ論 / 無限ネットワ-ク / イデアル境界値成分 / 集団遺伝学 / 非線形発展方程式 / 等質空間 / 線形接続 / リー群の一般化 / 非結合代数系 / 無限ネットワーク / 放物型 / 最大流れ問題 / ポテンシャル / ランダムウォーク / パターン認識 / 時空間現象 / 統計モデリング / 時空間現象モデリング / 森林減少メカニズム推定 / ARXモデル / 非線形回帰モデリング / 正則化推定法 / 高次元分割表 / テンソルデータ解析 / 分類・パターン認識 / カテゴリ分解 / モデル選択 / Unmixing / Markov random field / contextual image classification / ICM method / 非線形モデリング / ベイズ推論 / 階数決定問題 / semi-supervised classification / deforastation / unmixing / functional data analysis / Baysian factor analysis / contingency table / maximal rank of tensors / pattern recognition / ensemble learning / machine leaning / Bagging / spatial boosting / ゲノム / マイクロアレイ / 生体生命情報学 / 統計数単 / 遺伝子発現 / マルコフ連鎖モンテカルロ法 / トーリックイデアル / グレブナー基底 / 条件つき検定 / 超平面配置 / 臨床試験 / 統計的デザイン / 先端医療技術 / 臨床試験の計画と解析 / 先端医療技術の開発 / 診断法開発 / ゲノムデータの解析 / ゲノムデータ解析 / 統計解析 / 予測解析 / 質量分析 / 画像 / 画像処理 / 顕微質量装置 / イメージ / 質量顕微鏡法 / 離散時間可積分系 / 数値計算アルゴリズム / 並列計算 / 算術調和アルゴリズム / 並立計算 / 可積分系 / 差分スキーム / 離散ケプラー運動 / 情報幾何構造 / 算術調和平均のアルゴリズム / アルゴリズム / ソリトン / カオス系 / discrete-time integrable systems / numerical algorithms / parallel computing / information geometry / arithmetic harmonic mean algorithm / 潜在反応モデル / 操作変数法 / 構造方程式モラル / グラフィカルモデル / 構造方程式モデル / 因果ダイアグラム / 共分散構造分析 / Potential response model / Instrumental variables / Structural equation model / Graphical model / がん / 数理モデル / 放射線 / 被爆者 / 死亡率 / 発癌モデル / 放射線疫学 / 発癌2段階モデル / cancer / mathematical model / radiation / atomic bomb survivors / epidemiology / mortality / carcinogenesis model / data analysis / Exponentiak loss function / 判別分析 / SVM / アダブースト / マイクロアレイデータ / 文字認識 / 質量分析計 / 臨床情報 / 臨床 / タンパク / タンパク発現 / 統計的手法 / OMICSデータ / Proteome / Mass Spectrometry / Clinical Information / Statistics / Machine Learning / 不均一性 / オミクスデータ / ビッグデータ / 医療統計 / 肺疾患データ解析 / 転移学習 / アンサンブル学習 / 準線形モデリング / evidence-based medicine / 準線形モデル / データ融合 / 臨床データ解析 / 可視化 / びまん性肺疾患 / 人口知能 / データサイエンス / 人工知能 / 生物多様性保全 Less
  • Research Projects

    (24 results)
  • Research Products

    (388 results)
  • Co-Researchers

    (92 People)
  •  Dynamic β-Maxentによる生物多様性予測とそのアプリケーション実装

    • Principal Investigator
      小森 理
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Seikei University
  •  Development of statistical evaluation method for artificial intelligence and deep learning for personalized medicine

    • Principal Investigator
      Matsuura Masaaki
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 12040:Applied mathematics and statistics-related
    • Research Institution
      Teikyo University
  •  Establishment of diagnosis of diffuse lung diseases based on a data-integrated deep learning method

    • Principal Investigator
      Komori Osamu
    • Project Period (FY)
      2018 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Seikei University
  •  Developments and applications of statistical prediction methodPrincipal Investigator

    • Principal Investigator
      江口 真透
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      The Institute of Statistical Mathematics
  •  Development of statistical methods based on omics data for realizing predictive medicine

    • Principal Investigator
      Matsuura Masaaki
    • Project Period (FY)
      2015 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Teikyo University
  •  Statistical methodology for stabilizing of the genome-omics data analysisPrincipal Investigator

    • Principal Investigator
      Egichi Shinto
    • Project Period (FY)
      2013 – 2017
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Design and statistical analysis in translational clinical trials

    • Principal Investigator
      Matsui Shigeyuki
    • Project Period (FY)
      2012 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Statistical science
    • Research Institution
      Nagoya University
      The Institute of Statistical Mathematics
  •  Development of statistical methodology for imaging mass spectrometry

    • Principal Investigator
      MATSUURA Masaaki
    • Project Period (FY)
      2012 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Teikyo University
      Japanese Foundation for Cancer Research
  •  Developments of mathematical statistics through computational algebraic methods

    • Principal Investigator
      TAKEMURA Akimichi
    • Project Period (FY)
      2010 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Statistical science
    • Research Institution
      The University of Tokyo
  •  Integration of Statistics and Machine Learning for Combining Prediction, Knowledge Discovery and Inference.Principal Investigator

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      2008 – 2012
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Research of classification methods of hyper-spectral data, elucidation of the theoretical nature and applications to real data

    • Principal Investigator
      NISHII Ryuei
    • Project Period (FY)
      2007 – 2010
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Kyushu University
  •  Development of statistical methodology for detecting factors of disease mechanism based on clinical omics data

    • Principal Investigator
      MATSUURA Masaaki
    • Project Period (FY)
      2007 – 2008
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Japanese Foundation For Cancer Research
  •  New statistical methodology for genome diversity analysisPrincipal Investigator

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      2004 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Development of Statistical methodology for searching disease related factors based on proteomic and clinical information

    • Principal Investigator
      MATSUURA Masaaki
    • Project Period (FY)
      2004 – 2005
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      Japanese Foundation for Cancer Research
  •  マイクロアレイデータからの関連遺伝子抽出のためのブリッジング・スタディーPrincipal Investigator

    • Principal Investigator
      江口 真透
    • Project Period (FY)
      2003 – 2004
    • Research Category
      Grant-in-Aid for Exploratory Research
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Discriminant analysis of spatial data based on fusion of Markov random fields and machine learning

    • Principal Investigator
      NISHII Ryuei
    • Project Period (FY)
      2003 – 2004
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      General mathematics (including Probability theory/Statistical mathematics)
    • Research Institution
      KYUSHU UNIVERSITY
      Hiroshima University
  •  Fusion of Statistics, Neural-Net, Machine LearningPrincipal Investigator

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      2001 – 2003
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  Research of Algorithms in terms of Information Geometry Structure and Discrete Time Integrable Systems

    • Principal Investigator
      NAKAMURA Yoshimasa
    • 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
      KYOTO UNIVERSITY
      Osaka University
  •  Statistical Models for Causal Inference

    • Principal Investigator
      MIYAKAWA Masami
    • Project Period (FY)
      2000 – 2001
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Tokyo Institute of Technology
  •  Study on statistical theory of carsinogenesis model and its application to data in radiation epidemiology

    • Principal Investigator
      MATSUURA Masaaki
    • Project Period (FY)
      2000 – 2002
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      Japanese Foundation for Cancer Research
      Hiroshima University
  •  A local likelihood approach to semiparametric inferencePrincipal Investigator

    • Principal Investigator
      EGUCHI Shinto
    • Project Period (FY)
      1998 – 1999
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Statistical science
    • Research Institution
      The Institute of Statistical Mathematics
  •  無限ネットワーク上のポテンシャル論とその応用

    • Principal Investigator
      山崎 稀嗣
    • Project Period (FY)
      1993
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      解析学
    • Research Institution
      Shimane University
  •  等質系の理論

    • Principal Investigator
      吉川 通彦
    • Project Period (FY)
      1992
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      代数学・幾何学
    • Research Institution
      Shimane University
  •  関数微分方程式の位相的及び解析的研究

    • Principal Investigator
      古用 哲夫
    • Project Period (FY)
      1990
    • Research Category
      Grant-in-Aid for General Scientific Research (C)
    • Research Field
      解析学
    • Research Institution
      Shimane University

All 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 Other

All Journal Article Presentation Book

  • [Book] Minimum Divergence Methods in Statistical Machine Learning: From an Information Geometric Viewpoint2022

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Total Pages
      221
    • Publisher
      Springer Nature
    • ISBN
      9784431569220
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Book] Statistical Methods for Imbalanced Data in Ecological and Biological Studies2019

    • Author(s)
      Komori, O., & Eguchi, S.
    • Total Pages
      55
    • Publisher
      Springer
    • ISBN
      9784431555698
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Book] On the launch of the journal Information Geometry”, Information Geometry 1.1.2018

    • Author(s)
      Shinto Eguchi
    • Total Pages
      135
    • Publisher
      Springer
    • ISBN
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Book] International Conference on Geometric Science of Information,2017

    • Author(s)
      Shinto Eguchi, Katsuhiro Omae
    • Total Pages
      8
    • Publisher
      Springer, Cham
    • ISBN
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Computational Information Geometry2017

    • Author(s)
      Eguchi, S., A. Notsu, O. Komori
    • Total Pages
      21
    • Publisher
      Springer International Publishing
    • ISBN
      9783319470580
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Spontaneous Learning for Data Distributions via Minimum Divergence2017

    • Author(s)
      Eguchi, S., A. Notsu, O. Komori
    • Total Pages
      299
    • Publisher
      Springer International Publishing
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Spontaneous learning for data distributions via minimum divergence.2016

    • Author(s)
      Eguchi S, Notsu A, Komori O
    • Total Pages
      299
    • Publisher
      Springer International Publishing
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Book] Spontaneous learning for data distributions via minimum divergence. In Computational Information Geometry in Signal and Image Processing,2016

    • Author(s)
      S. Eguchi, A. Notsu and O. Komori
    • Publisher
      Springer
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Design and Analysis of Clinical Trials for Predictive Medicine.2015

    • Author(s)
      Osamu Komori and Shinto Eguchi
    • Total Pages
      400
    • Publisher
      Chapman & Hall/CRC
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Path connectedness on a space of probability density functions2015

    • Author(s)
      Eguchi S, Komori O
    • Total Pages
      790
    • Publisher
      Springer International Publishing
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Book] Path Connectedness on a Space of Probability Density Functions. In Geometric Science of Information 20152015

    • Author(s)
      Eguchi, S.and Komori, O.
    • Total Pages
      790
    • Publisher
      Springer International Publishing.
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Statistical and machine-learning methods for class prediction in high dimension. Design and Analysis of Clinical Trials for Predictive Medicine.2015

    • Author(s)
      O.Komori and S.Eguchi.
    • Total Pages
      400
    • Publisher
      Chapman Hall/CRC
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Statistical and machine-learning methods for class prediction in high dimension2015

    • Author(s)
      Komori O, Eguchi S
    • Total Pages
      381
    • Publisher
      Chapman & Hall/CRC Press 2015
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Book] Bayesian Inference and Mximum Eentropy Mmethods in Science and Engineering2014

    • Author(s)
      T Takenouchi, O Komori, S Eguchi
    • Total Pages
      1641
    • Publisher
      AIP Publishing
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Book] Bayesian Inference and Maximum Eentropy Methods in Science and Engineering (MAXENT 2014)2014

    • Author(s)
      T Takenouchi, O Komori, S Eguchi.
    • Total Pages
      621
    • Publisher
      AIP Publishing
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Bayesian Inference and Maximum Eentropy Methods in Science and Engineering (MAXENT 2014)2014

    • Author(s)
      S Eguchi, O Komori, A Ohara.
    • Total Pages
      621
    • Publisher
      AIP Publishing
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Book] Bayesian Inference and Mximum Eentropy Mmethods in Science and Engineering2014

    • Author(s)
      S Eguchi, O Komori, A Ohara
    • Total Pages
      1641
    • Publisher
      AIP Publishing
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Book] 科学者の本棚-『鉄腕アトム』から『ユークリッド原論』まで--「日本発情報幾何の礎」甘利俊一「Differential Geometrical Methods in Statistics」(統計学の微分幾何の方法)2011

    • Author(s)
      江口真透
    • Total Pages
      256
    • Publisher
      岩波書店
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Book] Frank Emmert-Streib Information Theory and Statistical Learning2008

    • Author(s)
      S. Eguchi
    • Publisher
      Springer
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Generalized quasi-linear mixed-effects model2022

    • Author(s)
      Yusuke Saigusa, Shinto Eguchi, Osamu Komori
    • Journal Title

      Statistical Methods in Medical Research

      Volume: 31

    • DOI

      10.1177/09622802221085864

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211, KAKENHI-PROJECT-20K19759
  • [Journal Article] Novel robust time series analysis for long-term and short-term prediction2021

    • Author(s)
      H Okamura, Y Osada, S Nishijima, S Eguchi
    • Journal Title

      Scientific Reports

      Volume: 11

    • DOI

      10.1038/s41598-021-91327-8

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211, KAKENHI-PROJECT-19K06216
  • [Journal Article] Pythagoras theorem in information geometry and applications to generalized linear models2021

    • Author(s)
      Shinto Eguchi
    • Journal Title

      Handbook of Statistics

      Volume: 45 Pages: 15-42

    • DOI

      10.1016/bs.host.2021.06.001

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Journal Article] A unified formulation of k-means, fuzzy c-means and Gaussian mixture model by the Kolmogorov-Nagumo average2021

    • Author(s)
      Osamu Komori and Shinto Eguchi
    • Journal Title

      Entropy

      Volume: 23 Pages: 1-21

    • DOI

      10.3390/e23050518

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11190, KAKENHI-PROJECT-20H00576, KAKENHI-PROJECT-18H03211
  • [Journal Article] Quasi-linear Cox proportional hazards model with cross- L1 penalty2020

    • Author(s)
      Komori, O., Eguchi, S., Saigusa, Y., Kusumoto, B. and Kubota, Y.
    • Journal Title

      BMC Med Res Methodol

      Volume: 55 Pages: 1-11

    • DOI

      10.1016/j.ecoinf.2019.101015

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Journal Article] Information Geometry Advocated by S. Amari2020

    • Author(s)
      江口 真透
    • Journal Title

      BJSIAM

      Volume: 30 Issue: 3 Pages: 40-42

    • DOI

      10.11540/bjsiam.30.3_40

    • NAID

      130007961990

    • ISSN
      2432-1982
    • Language
      Japanese
    • Open Access
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Journal Article] Strong model dependence in statistical analysis: goodness of fit is not enough for Model2020

    • Author(s)
      John Copas and Shinto Eguchi
    • Journal Title

      Annals of the Institute of StatisticalMathematics

      Volume: 72 Pages: 329-352

    • DOI

      10.1007/s10463-018-0691-8

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Journal Article] Predicting precision matrices for color matching problem2019

    • Author(s)
      Copas, J. & Eguchi, S.
    • Journal Title

      International Journal of Mathematics for Industry

      Volume: 印刷中 Pages: 1-10

    • DOI

      10.1142/s2661335219500023

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211, KAKENHI-PROJECT-19K11861, KAKENHI-PROJECT-16H02790, KAKENHI-PROJECT-17H01701
  • [Journal Article] The power‐integrated discriminant improvement: An accurate measure of the incremental predictive value of additional biomarkers2019

    • Author(s)
      Hayashi, K., Eguchi, S.
    • Journal Title

      Statistics in Medicine

      Volume: 印刷中 Pages: 2589-2604

    • DOI

      10.1002/sim.8135

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211, KAKENHI-PROJECT-18K11197
  • [Journal Article] Robust bias correction model for estimation of global trend in marine populations2017

    • Author(s)
      Komori, O., Eguchi, S., Saigusa, Y., Okamura, S. and Ichinokawa, M.
    • Journal Title

      Ecosphere

      Volume: 8 Pages: 1-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Quasi-linear score for capturing heterogeneous structure in biomarkers2017

    • Author(s)
      Omae K, Komori O, Eguchi S
    • Journal Title

      BMC Bioinformatics

      Volume: 18 Pages: 1-15

    • DOI

      10.1186/s12859-017-1721-x

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12401, KAKENHI-PROJECT-25280008
  • [Journal Article] Robust clustering method in the presence of scattered observations2016

    • Author(s)
      A. Notsu and S. Eguchi.
    • Journal Title

      Neural Computation

      Volume: In press Pages: 1141-1162

    • DOI

      10.1162/neco_a_00833

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-24240042
  • [Journal Article] Risk assessment of radioisotope contamination for aquatic living resources in and around Japan2016

    • Author(s)
      H. Okamura, S. Ikeda, T. Morita and S. Eguchi.
    • Journal Title

      Proceedings of the National Academy of Sciences

      Volume: 113(14) Pages: 3838-3843

    • DOI

      10.1073/pnas.1519792113

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Reproducible detection of disease-associated markers from gene expression data2016

    • Author(s)
      K. Omae, O. Komori and S.Eguchi
    • Journal Title

      BMC Medical Genomics

      Volume: 9(53) Pages: 53-53

    • DOI

      10.1186/s12920-016-0214-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-16K12401
  • [Journal Article] Robust estimation of location and concentration parameters for the von Mises-Fisher distribution.2016

    • Author(s)
      S. Kato, S. Eguchi
    • Journal Title

      Statistical Papers

      Volume: In press Pages: 205-234

    • DOI

      10.1007/s00362-014-0648-9

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-25400218
  • [Journal Article] An asymmetric logistic regression model for ecological data2016

    • Author(s)
      Komori, O., Eguchi, S., Ikeda, S., Okamura, H., Ichinokawa, M. and Nakayama, S.
    • Journal Title

      Methods in Ecology and Evolution

      Volume: 7(2) Pages: 249-260

    • DOI

      10.1111/2041-210x.12473

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Binary classification with pseudo exponential model and its application for multi task learning.2015

    • Author(s)
      T. Takenouchi, O. Komori and S. Eguchi.
    • Journal Title

      Entropy

      Volume: 17, 8 Pages: 5673-5694

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Generalized t-statistics for two-group classification2015

    • Author(s)
      O. Komori, S. Eguchi and J. Copas.
    • Journal Title

      Biometrics

      Volume: 71, 2 Pages: 404-416

    • DOI

      10.1111/biom.12265

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-24240042
  • [Journal Article] Binary classification with pseudo exponential model and its application for multi task learning2015

    • Author(s)
      Takashi Takenouchi, Osamu Komori and Shinto Eguchi.
    • Journal Title

      Entropy

      Volume: 17 Pages: 5673-5694

    • DOI

      10.3390/e17085673

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25730018, KAKENHI-PROJECT-24240042
  • [Journal Article] Individualized prostate-specific antigen threshold values to avoid overdiagnosis of prostate cancer and reduce unnecessary biopsy in elderly men.2014

    • Author(s)
      Kanao K., Komori O., Nakashima J., Ohigashi T., Kikuchi E., Miyajima A., Nakagawa K., Eguchi S. and Oya M
    • Journal Title

      Japanese Journal of Clinical Oncology

      Volume: 44 Pages: 852-859

    • DOI

      10.1093/jjco/hyu133

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Duality of maximum entropy and minimum divergence2014

    • Author(s)
      Shinto Eguchi, Osamu Komori and Atsumi Ohara
    • Journal Title

      Entropy

      Volume: 16 Pages: 3552-3572

    • DOI

      10.3390/e16073552

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23540134, KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Spontaneous clustering via minimum gamma-divergence2014

    • Author(s)
      Notsu A, Komori O, Eguchi S
    • Journal Title

      Neural Computation

      Volume: 26 Pages: 421-448

    • DOI

      10.1162/neco_a_00547

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] A exploratory clinical trial for idiopathic osteonecrosis of femoral head by cultured autologous multipotent mesenchymal stromal cells augmented with vascularized bone grafts2014

    • Author(s)
      Aoyama T, Goto K, Kakinoki R, Ikeguchi R, Ueda M, Kasai Y, Maekawa T, Tada H, Teramukai S, Nakamura T, Toguchida J
    • Journal Title

      Tissue Engineering Part B

      Volume: 20 Pages: 233-242

    • DOI

      10.1089/ten.teb.2014.0090

    • NAID

      120005468373

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Journal Article] Detection of heterogeneous structures on the Gaussian copula model using projective power entropy2013

    • Author(s)
      Notsu, A., Kawasaki, Y. and Eguchi, S.
    • Journal Title

      ISRN Probability and Statistics

      Volume: 2013 Pages: 1-10

    • DOI

      10.1155/2013/787141

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22240030, KAKENHI-PROJECT-23243038, KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25245033, KAKENHI-PROJECT-25280008, KAKENHI-PROJECT-25330049
  • [Journal Article] Editorial note on special issue “Statistical Analysis of Biomarkers for Personalized Medicine”2013

    • Author(s)
      Eguchi S. Matsui S, Huang SY, Hsiao CK
    • Journal Title

      Computational and Mathematical Methods in Medicine

      Volume: - Pages: 2-2

    • DOI

      10.1155/2013/467420

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Group invariance of information geometry on q-Gaussian distributions induced by beta-divergence2013

    • Author(s)
      Atsumi Ohara and Shinto Eguchi
    • Journal Title

      Entropy

      Volume: 15 Pages: 4732-4747

    • DOI

      10.3390/e15114732

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23540134, KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] Geometry on positive definite matrices induced from V-potential function2013

    • Author(s)
      Ohara, A. and Eguchi, S.
    • Journal Title

      Geometric Science of Information. Lecture Notes in Computer Science

      Volume: 8085 Pages: 621-629

    • DOI

      10.1007/978-3-642-40020-9_69

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Density estimation with minimization of U-divergence2013

    • Author(s)
      K. Naito and S. Eguchi
    • Journal Title

      Machine Learning

      Volume: 90 Pages: 29-57

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Multiple Suboptimal Solutions for Prediction Rules in Gene Expression Data2013

    • Author(s)
      Komori O, Prichard M, Eguchi S
    • Journal Title

      Computational and Mathematical Methods in Medicine

      Volume: Article ID 798189 Pages: 1-14

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Journal Article] Multiple suboptimal solutions for prediction rules in gene expression data2013

    • Author(s)
      Komori, O., Pritchard, M. and Eguchi, S.
    • Journal Title

      Computational and Mathematical Methods in Medicine

      Volume: 2013

    • DOI

      10.1155/2013/798189

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Journal Article] Robust independent component analysis via minimum gamma-divergence estimation2013

    • Author(s)
      Chen PW, Hung H, Komori O, Huang SY, Eguchi S
    • Journal Title

      IEEE Journal of Selected Topics in Signal Processing

      Volume: 7 Pages: 614-624

    • DOI

      10.1109/jstsp.2013.2247024

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042, KAKENHI-PROJECT-25280008
  • [Journal Article] An extension of the Receiver Operating Characteristic curve and AUC-optimal classification2012

    • Author(s)
      Takenouchi T, Komori O, Eguchi S
    • Journal Title

      Neural Computation

      Volume: 24 Pages: 2789-2824

    • DOI

      10.1162/neco_a_00336

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Journal Article] An extension of the Receiver Operating Characteristic curve and AUC-optimal classification2012

    • Author(s)
      T. Takenouchi, O. Komori and S. Eguchi
    • Journal Title

      Neural Computation

      Volume: 24, 10 Pages: 2789-2824

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Boosting Learning Algorithm for Pattern Recognition and Beyond2011

    • Author(s)
      O. Komori and S. Eguchi
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: 10 Issue: 10 Pages: 1863-1869

    • DOI

      10.1587/transinf.e94.d.1863

      10.1587/transinf.E94.D.1863

    • NAID

      10030193119

    • ISSN
      0916-8532, 1745-1361
    • Language
      English
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Projective power entropy and maximum Tsallis entropy distributions2011

    • Author(s)
      S. Eguchi, O. Komori and S. Kato
    • Journal Title

      Entropy

      Volume: 13 Pages: 1746-1764

    • DOI

      10.3390/e13101746

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028, KAKENHI-PROJECT-22740076
  • [Journal Article] Prediction Analysis for Genomic and Proteomic Data: New Statistical Methods Based on Machine Learning2011

    • Author(s)
      小森理, 江口真透
    • Journal Title

      JJB

      Volume: 32 Issue: 1 Pages: 49-73

    • DOI

      10.5691/jjb.32.49

    • NAID

      10029531726

    • ISSN
      0918-4430, 2185-6494
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Invited discussion on Riemann manifold Langevin and Hamiltonian Monte Carlo methods' by M.Girolami, B.Calderhead2011

    • Author(s)
      S.Eguchi
    • Journal Title

      J Royal Statistical Society B

      Volume: 73 Pages: 180-181

    • DOI

      10.1111/j.1467-9868.2010.00765.x

    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] area under the ROC curve2010

    • Author(s)
      O. Komori and S. Eguchi
    • Journal Title

      BMC Bioinformatics

      Volume: 11:314

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Entropy and divergence associated with power function and the statistical application2010

    • Author(s)
      S. Eguchi and S. Kato
    • Journal Title

      Entropy

      Volume: 12 Pages: 262-274

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust extraction of local structures by the minimum beta-divergence Method2010

    • Author(s)
      Mollah, N.H., Minami, M., Eguchi, S.
    • Journal Title

      Neural Networks 23

      Pages: 226-23

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Maximum regularized likelihood estimation of finite mixtures with a structural model.2010

    • Author(s)
      Eguchi, S., Yoshioka, K.
    • Journal Title

      Communications in Statistics (To appear)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] A boosting method for maximizing the partial area under the ROC curve.2010

    • Author(s)
      O.Komori, S.Eguchi.
    • Journal Title

      BMC Bioinformatics

      Pages: 11-314

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust extraction of local structures by the minimum beta-divergence method.2010

    • Author(s)
      N.H.Mollah, N.Sultana, M.Minami, S.Eguchi
    • Journal Title

      Neural Networks

      Volume: 23,2 Pages: 226-238

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Likelihood for statistically equivalent models2010

    • Author(s)
      J.Copas, S.Eguchi.
    • Journal Title

      J.Royal Statistical Society B Vol.72, No.2

      Pages: 193-217

    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Entropy and divergence associated with power function and the statistical application.2010

    • Author(s)
      S.Eguchi, S.Kato
    • Journal Title

      Entropy 12 2

      Pages: 262-274

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Maximum regularized likelihood estimator of finite mixtures with a structural model.2010

    • Author(s)
      S.Eguchi, K.Yoshioka
    • Journal Title

      Communications in Statistics

      Volume: 39:8 Pages: 1498-1510

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Likelihood for statistically equivalent models.2010

    • Author(s)
      Copas, J., Eguchi, S.
    • Journal Title

      J.Royal Statistical Society B 72

      Pages: 193-217

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust extraction of local structures by the minimum beta-divergence method.2010

    • Author(s)
      N.H.Mollah, N.Sultana, M.Minami, S.Eguchi.
    • Journal Title

      Neural Networks 23 2

      Pages: 226-238

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Likelihood for statistically equivalent models.2010

    • Author(s)
      J.Copas, S.Eguchi.
    • Journal Title

      J.Royal Statistical Society B 72 2

      Pages: 193-217

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Likelihood for statistically equivalent models2010

    • Author(s)
      J. Copas and S. Eguchi
    • Journal Title

      J. Royal Statistical Society B

      Volume: 72 Pages: 193-217

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Entropy and divergence associated with power function and the statistical application.2010

    • Author(s)
      Eguchi, S., Kato, S.
    • Journal Title

      Entropy 12

      Pages: 262-274

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] A boosting method for maximizing the partial area under the ROC curve.2010

    • Author(s)
      O.Komori, S.Eguchi
    • Journal Title

      BMC Bioinformatics

      Volume: 11:314(online)

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] AUC maximization method in credit scoring.2010

    • Author(s)
      K.Miura, S.Yamashita, S.Eguchi
    • Journal Title

      J.Risk Model Validation

      Volume: 4,2 Pages: 3-25

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip2009

    • Author(s)
      H. Fujisawa, Y. Horiuchi, Y. Harushima, T. Takada, S. Eguchi
    • Journal Title

      BMC Bioinformatics

      Volume: 10:131

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust hierarchical clustering for gene expression data analysis.2009

    • Author(s)
      N.H.Mollah, M.Pritchard, O.Komori, S.Eguchi.
    • Journal Title

      Communications of SIWN 6

      Pages: 118-122

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust kernel principal component analysis2009

    • Author(s)
      Huang, S-Y., Yeh, Y-R., Eguchi, S.
    • Journal Title

      Neural Computation 21

      Pages: 3179-3213

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] 関連遺伝子セットの多重解の存在.2009

    • Author(s)
      プリチャード真理, 江口真透
    • Journal Title

      日本統計学会誌(シリーズJ 2号) 38

      Pages: 199-212

    • NAID

      110007226105

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust kernel principal component analysis2009

    • Author(s)
      S-Y. Huang, Y-R. Yeh, and S. Eguchi
    • Journal Title

      Neural Computation

      Volume: 21 Pages: 3179-3213

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust kernel principal component analysis.2009

    • Author(s)
      S-Y.Huang, Y-R.Yeh, S.Eguchi.
    • Journal Title

      Neural Computation 21 11

      Pages: 3179-3213

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] 関連遺伝子セットの多重解の存在2009

    • Author(s)
      プリチャード真理, 江口真透
    • Journal Title

      日本統計学会誌

      Volume: シリーズJ 2号,38 Pages: 199-212

    • NAID

      110007226105

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust hierarchical clustering for gene expression data analysis2009

    • Author(s)
      N. H. Mollah, M. Pritchard, O. Komori and S. Eguchi
    • Journal Title

      Communications of SIWN

      Volume: 6 Pages: 118-122

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] SNEP : Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip2009

    • Author(s)
      Fujisawa, H., Horiuchi, Y., Harushima, Y., Takada, T., Eguchi, S., Mochizuki, T., Sakaguchi, T., Shiroishi, T., Kurata, N.
    • Journal Title

      BMC Bioinformatics 10:131.

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008

    • Author(s)
      T. Takenouchi, S. Eguchi, N. Murata and T. Kanamori.
    • Journal Title

      Neural Computation 20(6)

      Pages: 1596-1630

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust parameter estimation with a small bias against heavy contamination2008

    • Author(s)
      Fujisawa, H., Eguchi, S.
    • Journal Title

      Journal of Multivariate Analysis 99

      Pages: 2053-2081

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300100
  • [Journal Article] Boosting method for local learning in statistical pattern recognition2008

    • Author(s)
      M. Kawakita, S. Eguchi
    • Journal Title

      Neural Computation

      Volume: 20 Pages: 2792-283

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust parameter estimation with a small bias against heavy contamination.2008

    • Author(s)
      H.Fujisawa, S.Eguchi.
    • Journal Title

      J.Multivariate Analysis 99 9

      Pages: 2053-2081

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Asymptotical improvement of maximum likelihood estimators on Kullback-Leibler loss.2008

    • Author(s)
      S. Eguchi, T. Yanagimoto.
    • Journal Title

      To appear in J Statist. Plan. Infer

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems2008

    • Author(s)
      T.Takenouchi, S.Eguchi, N.Murata and T.Kanamori.
    • Journal Title

      Neural Computation 20(6)

      Pages: 1596-1630

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Boosting method for local learning in statistical pattern recognition2008

    • Author(s)
      M.Kawakita and S.Eguchi.
    • Journal Title

      Neural Computation (To apper)

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Boosting method for local learning in statistical pattern recognition.2008

    • Author(s)
      M. Kawakita, S. Eguchi.
    • Journal Title

      To appear in Neural Computation

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust parameter estimation with a small bias against heavy contamination.2008

    • Author(s)
      H. Fujisawa, S. Eguchi.
    • Journal Title

      To apper in J Multi variate Analysis

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Asymptotical improvement of maximum likelihood estimators on Kullback-Leibler loss2008

    • Author(s)
      S. Eguchi
    • Journal Title

      Journal of Statistical Planning and Inference

      Volume: 138 Pages: 3502-3511

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008

    • Author(s)
      T. Takenouchi, S. Eguchi, N. Murata, T. Kanamori.
    • Journal Title

      Neural Computation 20, 6

      Pages: 1596-1630

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust parameter estimation with a small bias against heavy Contamination2008

    • Author(s)
      H.Fujisawa and S.Eguchi
    • Journal Title

      J.Multivariate Analysis (To apper)

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Boosting method for local learning in statistical pattern recognition2008

    • Author(s)
      Kawakita, M., Eguchi, S.
    • Journal Title

      Neural Computation 20(11)

      Pages: 2792-2838

    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Boosting method for local learning in statistical pattern recognition.2008

    • Author(s)
      M.Kawakita, S.Eguchi.
    • Journal Title

      Neural Computation 20 11

      Pages: 2792-2838

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust parameter estimation with a small bias against heavy contamination2008

    • Author(s)
      Fujisawa H. and Eguchi S
    • Journal Title

      Journal of Multivariate Analysis 99

      Pages: 2053-2081

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300100
  • [Journal Article] Robust parameter estimation with a small bias against heavy contamination.2008

    • Author(s)
      H. Fujisawa and S. Eguchi
    • Journal Title

      J. Multivariate Analysis To apper

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Asymptotical improvement of maximum likelihood estimators on Kullback-Leibler loss.2008

    • Author(s)
      S. Eguchi and T. Yanagimoto
    • Journal Title

      J. Statist. Plan. Infer To apper

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] 統計的学習理論による多重分光画像の画素判別2008

    • Author(s)
      西井 龍映, 江口 真透
    • Journal Title

      計算機統計学 19

      Pages: 151-164

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Robust parameter estimation with a small bias against heavy contamination2008

    • Author(s)
      H. Fujisawa, S. Eguchi
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 99 Pages: 2053-2081

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Asymptotical improvement of maximum likelihood estimators on Kullback-Leibler loss2008

    • Author(s)
      S.Eguchi and T.Yanagimoto
    • Journal Title

      J.Statist.Plan.Infer (To apper)

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust boosting algorithm against mislabeling in multi-class problems.2008

    • Author(s)
      T.Takenouchi, S.Eguchi, N.Murata, T.Kanamori.
    • Journal Title

      Neural Computation 20 6

      Pages: 1596-1630

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Boosting method for local learning in statistical pattern recognition.2008

    • Author(s)
      M. Kawakita and S. Eguchi.
    • Journal Title

      Neural Computation To apper

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Asymptotical improvement of maximum likelihood estimators on Kullback-Leibler loss.2008

    • Author(s)
      Eguchi, Shinto
    • Journal Title

      Journal of Statistical Planning and Inference 138

      Pages: 3502-3511

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Journal Article] Robust Loss Functions for Boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi, N.Murata
    • Journal Title

      Neural Computation (To appear)

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Confidence intervals and P-values for meta analysis with publication bias2007

    • Author(s)
      M.Henmi, J.Copas and S.Eguchi
    • Journal Title

      Biometrics 63

      Pages: 475-482

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust prewhitening for ICA by minimizhing beta-divergence and its application to FastICA.2007

    • Author(s)
      M. N. H. Mollah, M. Minami and S. Eguchi.
    • Journal Title

      Neural Processing Letters 25

      Pages: 91-110

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Importance sampling via the estimated sampler2007

    • Author(s)
      M.Henmi, R.Yoshida and S.Eguchi
    • Journal Title

      Biometrika 94(4)

      Pages: 985-991

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust prewhitening for ICA by minimizing beta-divergence and its application to FastICA2007

    • Author(s)
      M.N.H.Mollah, M.Minami and S.Eguchi.
    • Journal Title

      Neural Processing Letters 25

      Pages: 91-110

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Importance sampling via the estimated sampler2007

    • Author(s)
      M.Henmi, R.Yoshida, S.Eguchi
    • Journal Title

      Biometrika Vol.94

      Pages: 985-991

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Common peak approach using mass spectrometry data sets for predicting the effects of anticancer drugs on breast cancer.2007

    • Author(s)
      M. Ushijima, S. Miyata, S. Eguchi, M. Kawakita, M. Yoshimoto, T. Iwase, F. Akiyama, G. Sakamoto, K. Nagasaki, Y. Miki, T. Noda, Y. Hoshikawa, M. Matsuura.
    • Journal Title

      Cancer Informatics 3

      Pages: 285-293

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] GroupAdaBoost: accurate prediction and selection of important genes.2007

    • Author(s)
      T.Takenouchi, M. Ushijima and S.Eguchi
    • Journal Title

      IPSJ Transactions on Bioinformatics 3

      Pages: 1-8

    • NAID

      130000058294

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust loss functions for boosting.2007

    • Author(s)
      T. Kanamori, T. Takenouchi, S. Eguchi, N. Murata.
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Identifying haplotype block structure by using ancestor-derived model.2007

    • Author(s)
      H. Fujisawa, M. Isomura, S. Eguchi, M. Ushijima, S. Miyata, Y. Miki, M. Matsuura
    • Journal Title

      J. Human Genetics 52(9)

      Pages: 738-746

    • NAID

      10019812610

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] GroupAdaBoost:accurate prediction and selection of important genes2007

    • Author(s)
      T.Takenouchi, M.Ushijima and S.Eguchi
    • Journal Title

      IPSJ Transactions on Bioinformatics 3

      Pages: 1-8

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust loss functions for boosting.2007

    • Author(s)
      T. Kanamori, T. Takenouchi, S. Eguchi and N. Murata.
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Common peak approach using mass spectrometry data sets for predicting the effects of anticancer drugs on breast cancer2007

    • Author(s)
      M.Ushijima, S.Miyata, S.Eguchi, M.Kawakita, M.Matsuura.
    • Journal Title

      Cancer Informatics 3

      Pages: 285-293

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Confidence intervals and P-values for meta analysis with publication bias.2007

    • Author(s)
      M. Henmi, J. Copas, S. Eguchi.
    • Journal Title

      Biometrics 63

      Pages: 475-482

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust loss functions for boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi and N.Murata
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Common peak approach using mass spectrometry data sets for predicting the effects of anticancer drugs on breast cancer.2007

    • Author(s)
      M. Ushijima, S. Miyata, S. Eguchi, M. Kawakita, M. Matsuura.
    • Journal Title

      Cancer Informatics 3

      Pages: 285-293

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust loss functions for boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi and N.Murata.
    • Journal Title

      Neural Computation 19

      Pages: 2183-2244

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Importance sampling via the estimated sampler.2007

    • Author(s)
      M. Henmi, R. Yoshida and S. Eguchi
    • Journal Title

      Biometrika 94(4)

      Pages: 985-991

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Identifying haplotype block structure by using ancestor-derived model2007

    • Author(s)
      H.Fujisawa, M.Isomura, S.Eguchi, M.Ushijima, S.Miyata, Y.Miki, M.Matsuura
    • Journal Title

      J.Human Genetics 52(9)

      Pages: 738-746

    • NAID

      10019812610

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Confidence intervals and P-values for meta analysis with publication bias.2007

    • Author(s)
      M.Henmi, J.Copas, S.Eguchi
    • Journal Title

      Biometrics (To appear)

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] GroupAdaBoost : accurate prediction and selection of important genes.2007

    • Author(s)
      T.Takenouchi, M.Ushijima, S.Eguchi
    • Journal Title

      IPSJ Transactions on Bioinformatics 3

      Pages: 1-8

    • NAID

      130000058294

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Importance sampling via the estimated sampler.2007

    • Author(s)
      M. Henmi, R. Yoshida, S. Eguchi.
    • Journal Title

      Biometrika 94, 4

      Pages: 985-991

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Identifying haplotype block structure by using ancestor-derived model.2007

    • Author(s)
      H. Fujisawa, M. Isomura, S. Eguchi, M. Ushijima, S. Miyata, Y. Miki, M. Matsuura.
    • Journal Title

      J Human Genetics 52(9)

      Pages: 738-746

    • NAID

      10019812610

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Group Ada Boost : accurate prediction and selection of important genes.2007

    • Author(s)
      T. Takenouchi, M. Ushijima, S. Eguchi.
    • Journal Title

      IPSJ Transactions on Bioinforma tics 3

      Pages: 1-8

    • NAID

      130000058294

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Confidence intervals and P-values for meta analysis with publication bias.2007

    • Author(s)
      M. Henmi, J. Copas and S. Eguchi
    • Journal Title

      Biometrics 63

      Pages: 475-482

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust prewhitening for ICA by minimizing beta-divergence and its application to Fast ICA.2007

    • Author(s)
      M.N.H.Mollah, M.Minami, S.Eguchi
    • Journal Title

      Neural Processing Letters 25

      Pages: 91-110

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Importance sampling via the estimated sampler2007

    • Author(s)
      M.Henmi, R.Yoshida and S.Eguchi
    • Journal Title

      Biometrika 94

      Pages: 985-991

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Robust loss functions for boosting2007

    • Author(s)
      T.Kanamori, T.Takenouchi, S.Eguchi, N.Murata
    • Journal Title

      Neural Computation Vol.19

      Pages: 2183-2244

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Journal Article] Robust prewhitening for ICA by minimizing beta-divergence and its application to FastICA.2007

    • Author(s)
      M. N. H. Mollah, M. Minami, S. Eguchi.
    • Journal Title

      Neural Processing Letters 25

      Pages: 91-110

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Image classification based on Markov random field models with Jeffreys divergence.2006

    • Author(s)
      R. Nishii, S. Eguchi.
    • Journal Title

      J Multi variate Analysis 97

      Pages: 1997-2008

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Image classification based on Markov random field models with Jeffreys divergence2006

    • Author(s)
      R.Nishii and S.Eguchi
    • Journal Title

      J.Multivariate Analysis 97

      Pages: 1997-2008

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Image classification based on Markov random field models with Jeffreys divergence.2006

    • Author(s)
      R.Nishii, S.Eguchi
    • Journal Title

      J.Multivariate Analysis To appear

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Identification of biomarkers from mass spectrometry data using a "common" peak approach2006

    • Author(s)
      T.Fushiki, H.Fujisawa and S.Eguchi
    • Journal Title

      BMC Bioinforrnatics 7

      Pages: 358-358

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma.2006

    • Author(s)
      S. Eguchi, J. Copas.
    • Journal Title

      J Multivariate Analysis 97

      Pages: 2034-2040

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Identification of biomarkers from mass spectrometry data using a "common" peak approach.2006

    • Author(s)
      T.Fushiki, H.Fujisawa, S.Eguchi
    • Journal Title

      BMC Bioinformatics 7

      Pages: 358-358

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local likeithood density estimation when the bandwidth is large.2006

    • Author(s)
      B. U. Park, Y. K. Lee, T. Y. Kim, C. Park, S. Eguchi.
    • Journal Title

      J Statist. Plan. Infer. 136

      Pages: 9-859

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local likelihood density estimation when the bandwidth is large2006

    • Author(s)
      B.U.Park, Y.K.Lee, T.Y.Kim, C.Park and S.Eguchi.
    • Journal Title

      Journal of Statistical Planning Inference 136

      Pages: 839-859

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma2006

    • Author(s)
      S.Eguchi and J.Copas.
    • Journal Title

      Multivariate Analysis 97

      Pages: 2034-2040

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma.2006

    • Author(s)
      S.Eguchi, J.Copas.
    • Journal Title

      Multivariate Analysis 97

      Pages: 2034-2040

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Identification of biomarkers from mass spectrometry data using a common peak approach.2006

    • Author(s)
      T. Fushiki, H. Fujisawa, S. Eguchi.
    • Journal Title

      BMCBioinformatics 7

      Pages: 358-358

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust estimation in the normal mixture model.2006

    • Author(s)
      Fujisawa, Hironori, Eguchi, Shinto
    • Journal Title

      Journal of Statistical Planning and Inference to appear

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma.2006

    • Author(s)
      S.Eguchi, J.Copas.
    • Journal Title

      J.Multivariate Analysis To appear

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust estimation in the normal mixture model.2006

    • Author(s)
      H. Fujisawa, S. Eguchi.
    • Journal Title

      Statist. Plan. Infer. 136

      Pages: 3989-4011

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] An introduction to the predictive technique AdaBoost with a comparison to generalized additive models.2005

    • Author(s)
      M. Kawakita, M. Mmami, S. Eguchi, C. E. Lennert-Cody.
    • Journal Title

      Fisheries Research 76

      Pages: 328-343

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Modeling late entry bias in survival analysis2005

    • Author(s)
      Matsuura, M., Eguchi, S.
    • Journal Title

      Biometrics 61・2

      Pages: 559-566

    • Data Source
      KAKENHI-PROJECT-16300090
  • [Journal Article] Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods.2005

    • Author(s)
      R. Nishii, S. Eguchi.
    • Journal Title

      IEEE Tran. on Geoscience and Remote Sensing 43

      Pages: 2547-2554

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local model uncertainty and incomplete data bias(with discussion).2005

    • Author(s)
      J. Copas, S. Eguchi.
    • Journal Title

      J. Royal Statistical Society B 67

      Pages: 59-512

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Modeling late entry bias in survival analysis.,2005

    • Author(s)
      Matsuura, Masaaki, Eguchi, Shinto
    • Journal Title

      Biometrics Vol.61

      Pages: 559-566

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust estimation in the normal mixture model2005

    • Author(s)
      Fujisawa, Hironori. and Eguchi, Shinto
    • Journal Title

      Journal of Royal Statististical Society B 67

      Pages: 459-513

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Modeling late entry bias in survival analysis2005

    • Author(s)
      M.Matsuura and S.Eguchi
    • Journal Title

      Biometrics 61

      Pages: 559-566

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] GroupAdaBoost for selecting important genes2005

    • Author(s)
      Takenouchi, Takashi, Ushijima, Masaru and Eguchi, Shinto
    • Journal Title

      IEEE 5th Symposium on Bioinformatics and Bioengineering 1

      Pages: 218-221

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local Model Uncertainty and Incomplete Data Bias.2005

    • Author(s)
      J.Copas(Univ.Warwick), S.Eguchi
    • Journal Title

      J.Royal Statistical Society B (with discussion) (To be published)

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local likelihood density estimation when the bandwidth is large.2005

    • Author(s)
      B.U.Park(Seoul National Univ.), Y.K.Lee(Seoul National Univ.), T.Y.Kim(Keimyung Univ.), C.Park, S.Eguchi
    • Journal Title

      Journal of Statistical Planning Inference (To appear)

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] GroupAdaBoost for selecting important genes.2005

    • Author(s)
      Takenouchi, Takashi, Ushijima, Masaru, Eguchi, Shinto
    • Journal Title

      IEEE 5th Symposium on Bioinformatics and Bioengineering

      Pages: 218-221

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local Model Uncertainty and Incomplete Data Bias2005

    • Author(s)
      J.Copas and S.Eguchi
    • Journal Title

      J.Royal Statistical Society B (with discussion) 67

      Pages: 459-512

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local likelihood density estimation when the bandwidth is large.2005

    • Author(s)
      B.U.Park(Seoul National Univ.), Y.K.Lee(Seoul National Univ.), T.Y.Kim(Keimyung Univ.), C.Park, S.Eguchi
    • Journal Title

      Journal of Statistical Planning Inference (To appear)

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local Model Uncertainty and Incomplete Data Bias.2005

    • Author(s)
      J.Copas(Univ.Warwick), S.Eguchi
    • Journal Title

      J.Royal Statistical Society B (with discussion) (To be published)

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] Local model uncertainty and incomplete data bias (with discussion).2005

    • Author(s)
      Copas, John, Eguchi, Shinto
    • Journal Title

      Journal of Royal Statististical Society B Vol.67, Part4,

      Pages: 459-513

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Modeling late entry bias in survival analysis2005

    • Author(s)
      Matsuura, Masaaki and Eguchi, Shinto
    • Journal Title

      Biometrics 61

      Pages: 559-566

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robut principal component analysis with adaptive selection for tuning parameters.2004

    • Author(s)
      I. Higuchi, S. Eguchi.
    • Journal Title

      J Machine Learning Research 5

      Pages: 453-471

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] A paradox concerning nuisance parameters and projected estimating functions.2004

    • Author(s)
      M. Henmi, S. Eguchi.
    • Journal Title

      Biometrika 91

      Pages: 929-941

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] The most robust loss function for boosting.2004

    • Author(s)
      Kanamori, T.(Tokyo Instistute of Technology), Takenouchi, T.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics), Murata, N.(Waseda university)
    • Journal Title

      Lecture Notes in Computer Science Neural Information Processing : 11th International Conference vol.3316

      Pages: 496-501

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] Robustifying AdaBoost by adding the naive error rate2004

    • Author(s)
      Takenouchi, T.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics)
    • Journal Title

      Neural Computation vol.16

      Pages: 767-787

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] Modeling late entry bias in survival analysis.2004

    • Author(s)
      M.Matsuura(Japanese Foundation for Cancer Research), S.Eguchi
    • Journal Title

      Biometrics (Accepted)

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robustifying AdaBoost by adding the naive error rate2004

    • Author(s)
      Takenouchi, T.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics)
    • Journal Title

      Neural Computation vol.16

      Pages: 767-787

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robust principal component analysis with adaptive selection for tuning parameters2004

    • Author(s)
      I.Higuchi, S.Eguchi
    • Journal Title

      J.Machine Learning Research 5

      Pages: 453-471

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Genotyping of single nucleotide polymorphism using model-based clustering2004

    • Author(s)
      Fujisawa, H.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics), Ushijima, M.(Japanese Foundation for Cancer Research(JFCR)), Miyata, S.(Japanese Foundation for Cancer Research(JFCR)), Miki, Y.(Japanese Foundation for Cancer Research(JFCR)), Muto, T.(Japanese Foundation for Cancer Research)
    • Journal Title

      Bioinformatics vol.20, no.5

      Pages: 718-726

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] The most robust loss function for boosting2004

    • Author(s)
      Kanamori, T., Takenouchi, T., Eguchi, S. and Murata, N.
    • Journal Title

      Lecture Notes in Computer Science Neural Information Processing:11th International Conference 3316

      Pages: 496-501

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] A paradox concerning nuisance parameters and projected estimating functions.2004

    • Author(s)
      Henmi, M.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statisitical Mathematics)
    • Journal Title

      Biometrika vol.91,no.4

      Pages: 929-941

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] A paradox concerning nuisance parameters and projected estimating functions2004

    • Author(s)
      M.Henmi, T.Takenouchi, T.Kanamori, S.Eguchi
    • Journal Title

      Biometrika 91

      Pages: 929-941

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Robustifying AdaBoost by adding the naive error rate2004

    • Author(s)
      T.Takenouchi, S.Eguchi
    • Journal Title

      Neural Computation 16

      Pages: 767-787

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Local likeithood regression of acoustic logging data with adaptive selection of multiple bandwidth.2004

    • Author(s)
      S. Watanabe, M. Minami, S. Eguchi.
    • Journal Title

      Butsuri-Tansa 57

      Pages: 535-544

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Information geometry of U-Boost and Bregman divergence2004

    • Author(s)
      Murata, N.(Waseda university), Takenouchi, T.(The Institute of Statistical Mathematics), Kanamori, T.(Tokyo Instistute of Technology), Eguchi, S.(The Institute of Statistical Mathematics)
    • Journal Title

      Neural Computation vol.16

      Pages: 1437-1481

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] Modeling late entry bias in survival analysis.2004

    • Author(s)
      M.Matsuura(Japanese Foundation for Cancer Research), S.Eguchi
    • Journal Title

      Biometrics (In press)

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] Supervised image classification based on AdaBoost with contextual weak classifiers2004

    • Author(s)
      R.Nishii, S.Eguchi
    • Journal Title

      Proc.Internat.Geoscience & Remote Sensing Sympo. 2004, II

      Pages: 1467-1470

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Information geometry of U-Boost and Bregman divergence2004

    • Author(s)
      Murata, N., Takenouchi, T., Kanamori, T. and Eguchi, S.
    • Journal Title

      Neural Computation 16

      Pages: 1437-1481

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robustifying AdaBoost by adding the naive error rate.2004

    • Author(s)
      T. Takenouchi, S. Eguchi.
    • Journal Title

      Neural Computation 16

      Pages: 767-787

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] A paradox concerning nuisance parameters and projected estimating functions2004

    • Author(s)
      M.Henmi, S.Eguchi
    • Journal Title

      Biometrika 91

      Pages: 929-941

    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] A paradox concerning nuisance parameters and projected estimating functions2004

    • Author(s)
      Henmi, M and Eguchi, S.
    • Journal Title

      Biometrika 20

      Pages: 718-726

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Supervised image classification based on AdaBoost with contextual weak classifiers2004

    • Author(s)
      R.Nishii, S.Eguchi
    • Journal Title

      Proc.of 2004 IEEE International Geoscience and Remote Sensing Symposium II

      Pages: 1467-1470

    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Information geometry of UBoost and Bregman divergence.2004

    • Author(s)
      N. Murata, T. Takenouchi, T. Kanamori, S. Eguchi.
    • Journal Title

      Neural Computation 16

      Pages: 437-1481

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Genotyping of single nucleotide polymorphism using model-based clustering2004

    • Author(s)
      Fujisawa, H.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics), Ushijima, M.(Japanese Foundation for Cancer Research (JFCR)), Miyata, S.(Japanese Foundation for Cancer Research (JFCR)), Miki, Y.(Japanese Foundation for Cancer Research (JFCR)), Muto, T.(Japanese Foundation for Cancer Research)
    • Journal Title

      Bioinformatics vol.20, no.5

      Pages: 718-726

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Genotyping of single nucleotide polymorphism using model-based clustering.2004

    • Author(s)
      H. Fujisawa, S. Eguchi, M. Ushijima, S. Miyata, Y. Miki, T. Muto, M. Matsuura.
    • Journal Title

      Bioinformatics 20

      Pages: 718-726

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] The most robust loss function for boosting.2004

    • Author(s)
      Kanamori, T.(Tokyo Institute of Technology), Takenouchi, T.(The Institute of Statisitcal Mathematics), Eguchi, S.(The Institute of Statisitcal Mathematics), Murata, N.(Waseda university)
    • Journal Title

      Lecture Notes in Computer Science Neural Information Processing : 11th International Conference vol.3316

      Pages: 496-501

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] A paradox concerning nuisance parameters and projected estimating functions.2004

    • Author(s)
      Henmi, M.(The Institute of Statistical Mathematics), Eguchi, S.(The Institute of Statistical Mathematics)
    • Journal Title

      Biometrika vol.91, no.4

      Pages: 929-941

    • Data Source
      KAKENHI-PROJECT-15650050
  • [Journal Article] Information geometry of U-Boost and Bregman divergence2004

    • Author(s)
      Murata, N.(Waseda unversity), Takenouchi, T.(The Institute of Statistical Mathematics), Kanamori, T.(Tokyo Institute of Technology), Eguchi, S.(The Institute of Statistical Mathematics)
    • Journal Title

      Neural Computation vol.16

      Pages: 1437-1481

    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Robustifying AdaBoost by adding the naive error rate2004

    • Author(s)
      Takenouchi, T and Eguchi, S.
    • Journal Title

      Neural Computation 16

      Pages: 767-787

    • Description
      「研究成果報告書概要(和文)」より
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Journal Article] Local likelihood method and theory for a bridge between parametric and nonparametric regression.2003

    • Author(s)
      S.Eguchi
    • Journal Title

      J.Nonparametric Statistics 15

      Pages: 665-683

    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Local likelihood method and theory for a bridge between parametric and nonparametric regression.2003

    • Author(s)
      S.Eguchi, T.Y.Kim, B.U.Park
    • Journal Title

      J.Nonparametric Statistics 15

      Pages: 665-683

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-15540123
  • [Journal Article] Robust Independent Component Analysis via Minimum γ-Divergence Estimation

    • Author(s)
      P. Chen, H. Hung, O. Komori, S-Y. Huang, and S. Eguchi
    • Journal Title

      To appear in IEEE

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Odds-based predictive improvement index for binary regression models2022

    • Author(s)
      Kenichi Hayashi, Shinto Eguchi
    • Organizer
      The 11th Conference of the IASC-ARS
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] オッズに基づく二値回帰モデルの予測力改善指標2021

    • Author(s)
      林 賢一,江口 真透
    • Organizer
      計算機統計学会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] A new integrated discriminant improvement index via odds2021

    • Author(s)
      林 賢一,江口 真透
    • Organizer
      計量生物学会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 予測のための最大エントロピーと最小ダイバージェンス2021

    • Author(s)
      江口 真透
    • Organizer
      予測モデリングの理論と応用(科研費シンポジウム)
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 準線形予測関数をもつ一般化混合効果モデルについて2020

    • Author(s)
      三枝 祐輔, 小森 理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 動的治療方針の推定における異質性の問題2020

    • Author(s)
      大前勝弘, 江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] Robust outcome weighted learning2020

    • Author(s)
      小島 将裕, 江口 真透, 野間 久史
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 強化学習のための統計モデルと情報幾何2020

    • Author(s)
      江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 動的治療計画の最近の進展と今後の展望2019

    • Author(s)
      江口真透
    • Organizer
      統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] さまざまな研究パラダイムをつなぐ情報幾何2019

    • Author(s)
      江口真透
    • Organizer
      横幹連合コンファレンス
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] Power-IDI:IDIに基づく予測能改善の定量化2019

    • Author(s)
      林賢一, 江口真透
    • Organizer
      統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] A Generalized Mean for Positive Definite Matrices - Human Color Perception Problem -2019

    • Author(s)
      江口真透
    • Organizer
      Information Geometry and Affine Differential Geometry III Nagoya University, Nagoya
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化平均を用いた非正規な混合効果モデル2019

    • Author(s)
      三枝 祐輔, 小森 理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化平均を使ったモデル,ダイバージェンス,ロス関数2019

    • Author(s)
      江口 真透
    • Organizer
      九州大学統計科学セミナー
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 最小ダイバージェンス幾何2018

    • Author(s)
      江口真透
    • Organizer
      ミニワークショップ 統計多様体の幾何学とその周辺(10).北海道大学,札幌市
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化混合モデルの提案とその統計的性質2018

    • Author(s)
      江口真透
    • Organizer
      応用統計ワークショップ, 東京大学院経済研究科,東京都
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化エネルギー関数に基づくクラスター分析2018

    • Author(s)
      小森理,江口真透
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 混合ハザードモデル2018

    • Author(s)
      大前勝弘, 江口真透
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 異なるモデルの尤度関数の結合2018

    • Author(s)
      江口真透,竹之内高志
    • Organizer
      2018年度統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化平均を使った統計方法2018

    • Author(s)
      江口真透
    • Organizer
      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-.成蹊大学,武蔵野市
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 統計モデリングのための一般化平均2018

    • Author(s)
      江口真透
    • Organizer
      ミニワークショップ 統計多様体の幾何学とその周辺(10).北海道大学,札幌市
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H03211
  • [Presentation] 一般化ガンマクラスタリングについて2017

    • Author(s)
      野津昭文,大前勝弘,江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 擬似線形関数に基づくクラスタ毎の異質性を考慮した回帰モデル2017

    • Author(s)
      林賢一,江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 一般化平均を用いたコックス比例ハザードモデルの拡張2017

    • Author(s)
      大前勝弘,江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 生態デ-タのためポアソン点過程-準線形モデリング-2017

    • Author(s)
      小森理,三枝祐輔,江口真透
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Information Geometry of Predictor Functions in a Regression Model2017

    • Author(s)
      Shinto Eguchi, Katsuhiro Omae
    • Organizer
      3rd conference on Geometric Science of Information
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 回帰モデルの予測関数の情報幾何2017

    • Author(s)
      江口真透,大前勝弘
    • Organizer
      統計関連学会連合大会
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Robustified asymmetric logistic regression model for global fish stock assessment2017

    • Author(s)
      Komori, O., Eguchi, S., Hiroshi, O., Ichinokawa, M.
    • Organizer
      CFAS 2017:International Conference on Fisheries and Aquatic Sciences
    • Place of Presentation
      Patong Beach Hotel, Thailand
    • Year and Date
      2017-03-06
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 一般化平均によるモデルと推定2017

    • Author(s)
      江口真透
    • Organizer
      科研費シンポジュウム「統計学, 機械学習の数理とその応用」
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] A simple mixture model for probability density estimation based on a quasi divergence (poster)2016

    • Author(s)
      Komori, O. and Eguchi, S
    • Organizer
      Information Geometry and its applications IV
    • Place of Presentation
      Liblice, Czech Republic
    • Year and Date
      2016-06-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Information geometry associated with two generalized means2016

    • Author(s)
      Eguchi, S., Komori, O. and Ohara, A.
    • Organizer
      Information Geometry and its applications IV
    • Place of Presentation
      Liblice, Czech Republic
    • Year and Date
      2016-06-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 分布の異質性を考慮したt統計量とAUCの一般化2015

    • Author(s)
      小森理,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学 津島キャンパス
    • Year and Date
      2015-09-07
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 自発的なデータ学習について2015

    • Author(s)
      江口 真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学 津島キャンパス
    • Year and Date
      2015-09-07
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Spontaneous learning for clustered data via gamma power divergence.2015

    • Author(s)
      Eguchi S.
    • Organizer
      The 9th Conference of the Asian Regional Section of the IASC
    • Place of Presentation
      National University of Singapore, Singapore.
    • Year and Date
      2015-12-19
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Generalized t-statistic and AUC for binary classification.2015

    • Author(s)
      Komori, O. and Eguchi, S.
    • Organizer
      Workshop on High-Dimensional Statistical Analysis
    • Place of Presentation
      Academia Sinica, Taiwan
    • Year and Date
      2015-12-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 分布の異質性を考慮したt統計量とAUCの一般化2015

    • Author(s)
      小森理,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学(岡山)
    • Year and Date
      2015-09-07
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] 自発的なデータ学習の展望2015

    • Author(s)
      江口 真透
    • Organizer
      平成27年度 統計科学セミナー
    • Place of Presentation
      九州大学伊都キャンパス
    • Year and Date
      2015-07-17
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 異質性が内在する2標本検定問題におけるロバストな統計量2015

    • Author(s)
      大前勝弘,小森理,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学(岡山)
    • Year and Date
      2015-09-07
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] 群判別のための多重マーカーの一般化 t-統計量について:セミパラメトリックスとラッソ2015

    • Author(s)
      江口 真透、小森 理
    • Organizer
      バイオ統計学の挑戦と貢献
    • Place of Presentation
      福岡県,福岡市南区塩原,九州大学
    • Year and Date
      2015-02-03
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Extension of AUC for classification considering heterogeneity in distributions.2015

    • Author(s)
      Komori, O. and Eguchi, S.
    • Organizer
      The 9th Conference of the Asian Regional Section of the IASC-ARS 2015
    • Place of Presentation
      National University of Singapore, Singapore.
    • Year and Date
      2015-12-19
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Information geometry and spontaneous data learning.2015

    • Author(s)
      Eguchi S.
    • Organizer
      2015 Workshop on High-Dimensional Statistical Analysis
    • Place of Presentation
      Academia Sinica, Taiwan
    • Year and Date
      2015-12-11
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Spontaneous learning for data distributions via minimum divergence.2015

    • Author(s)
      Eguchi S.
    • Organizer
      ICMS Workshop on Computational information geometry for image and signal processing
    • Place of Presentation
      Edinburgh.
    • Year and Date
      2015-09-21
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Information geometry and spontaneous data learning2015

    • Author(s)
      Eguchi S
    • Organizer
      Workshop on High-Dimensional Statistical Analysis
    • Place of Presentation
      Taipei,Taiwan
    • Year and Date
      2015-12-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Spontaneous learning for data distributions via minimum divergence2015

    • Author(s)
      Eguchi S
    • Organizer
      ICMS Workshop on Computational information geometry for image and signal processing
    • Place of Presentation
      Edinburgh,United Kingdom
    • Year and Date
      2015-09-21
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] クラスタリングのためのロバストなK-平均法について2015

    • Author(s)
      野津昭文,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学 津島キャンパス
    • Year and Date
      2015-09-07
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 異質性が内在する2標本検定問題におけるロバストな統計量2015

    • Author(s)
      大前勝弘,小森理,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学 津島キャンパス
    • Year and Date
      2015-09-08
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] クラスタリングのためのロバストなK-平均法について2015

    • Author(s)
      野津昭文,江口真透
    • Organizer
      統計関連学会連合大会2015
    • Place of Presentation
      岡山大学(岡山)
    • Year and Date
      2015-09-07
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] 2群判別のための多重マーカーの一般化 t-統計量について:セミパラメトリックスとラッソ2015

    • Author(s)
      江口 真透、小森 理
    • Organizer
      バイオ統計学の挑戦と貢献
    • Place of Presentation
      福岡
    • Year and Date
      2015-02-03
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Path connectivity on a space of probability density function space.2014

    • Author(s)
      Eguchi, S.
    • Organizer
      Taipei, Taiwan
    • Place of Presentation
      和光市
    • Year and Date
      2014-12-03
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Duality in a maximum generalized entropy model2014

    • Author(s)
      Eguchi S., Komori, O. Ohara, A
    • Organizer
      34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Amboirs France 2014
    • Place of Presentation
      Amboirs,France
    • Year and Date
      2014-09-25
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Duality in a maximum generalized entropy model.2014

    • Author(s)
      Eguchi S., Komori, O. Ohara, A.
    • Organizer
      34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
    • Place of Presentation
      Amboise France
    • Year and Date
      2014-09-25
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 統計学から学んだ三つのレッスン2014

    • Author(s)
      江口 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      東京
    • Year and Date
      2014-09-16
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Possible generalization of MAXENT2014

    • Author(s)
      Eguchi, S.
    • Organizer
      International symposium on innovation and challenges for fisheries assessment and management
    • Place of Presentation
      慶應義塾大学理工学部 矢上キャンパス,神奈川県
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] A novel boosting algorithm for multi-task learning based on the Itakuda-Saito divergence2014

    • Author(s)
      Takenouchi T. Komori O, Eguchi S.
    • Organizer
      34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering Amboirs France 2014
    • Place of Presentation
      Amboirs,France
    • Year and Date
      2014-09-23
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Generalized entropy and divergence in statistical learning.2014

    • Author(s)
      Eguchi, S., Komori, O.
    • Organizer
      The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Taipei Taiwan
    • Year and Date
      2014-06-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] マイクロアレイデータによるロバストな遺伝子ランキングを用いた表現型予測2014

    • Author(s)
      大前 勝弘、小森 理、江口 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      東京
    • Year and Date
      2014-09-14
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Robust ranking method via repeated random partition for gene expressions data2014

    • Author(s)
      Omae, K., Komori, O., Eguchi, S
    • Organizer
      The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting Taipei Taiwan 2014
    • Place of Presentation
      Taipei,China
    • Year and Date
      2014-06-28
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] マイクロアレイデータによるロバストな遺伝子ランキングを用いた表現型予測2014

    • Author(s)
      大前 勝弘、小森 理、江口 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      東京都,文京区本郷,東京大学本郷キャンパス
    • Year and Date
      2014-09-14
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Maximum power entropy method for ecological data analysis.2014

    • Author(s)
      Komori, O., Eguchi, S.
    • Organizer
      34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering.
    • Place of Presentation
      Amboise France
    • Year and Date
      2014-09-23
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] A novel boosting algorithm for multi-task learning based on the Itakuda-Saito divergence.2014

    • Author(s)
      Takenouchi T. Komori O, Eguchi S.
    • Organizer
      34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
    • Place of Presentation
      Amboise France
    • Year and Date
      2014-09-23
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Generalized entropy and divergence in statistical learning2014

    • Author(s)
      Eguchi, S., Komori, O
    • Organizer
      The 3rd Institute of Mathematical Statistics Area Pasific Rim Meeting Taipei Taiwan 2014
    • Place of Presentation
      Taipei,China
    • Year and Date
      2014-06-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Robust ranking method via repeated random partition for gene expressions data.2014

    • Author(s)
      Omae, K., Komori, O., Eguchi, S.
    • Organizer
      The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Taipei Taiwan
    • Year and Date
      2014-06-28
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Pattern Recognition for Marine Ecological Assessments2013

    • Author(s)
      Eguchi, S.
    • Organizer
      The Ninth ICSA International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data
    • Place of Presentation
      Hong Kong Baptist University, China
    • Invited
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] Classification of breast cancer subtypes using lasso clustering methods2013

    • Author(s)
      Ushijima M, Eguchi S, Komori S, Miki Y, Matsuura M
    • Organizer
      9th Japan America Joint International Mass Spectrometry Conference
    • Place of Presentation
      Hawaii, America
    • Year and Date
      2013-02-23
    • Data Source
      KAKENHI-PROJECT-24300110
  • [Presentation] A class of u-statistics combining multiple markers for two-group classification2013

    • Author(s)
      Komori, O., Hung, H., Chen, P., Huang, Su-Yun and Eguchi, S.
    • Organizer
      Joint Meeting of the IASC Satellite Conference for the 59th ISI WSC and the 8th Conference of the Asian Regional Section of the IASC
    • Place of Presentation
      Seoul, Korea
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 情報幾何の展開―アダブーストからポアンカレ予想まで2013

    • Author(s)
      江口真透
    • Organizer
      特別講演会
    • Place of Presentation
      千葉大学理学部,千葉県
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 海洋生態系を測るための関数データ解析2013

    • Author(s)
      江口真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      大阪大学,大阪府
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 遺伝子発現による表現形の予測のための統計的方法2013

    • Author(s)
      江口真透
    • Organizer
      久留米大学バイオ統計センター10周年記念第11回久留米大学バイオ統計学フォーラム
    • Place of Presentation
      福岡県久留米市
    • Year and Date
      2013-01-19
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 2値判別分析におけるモデルと推定の関係について2013

    • Author(s)
      江口真透
    • Organizer
      科学研究費シンポジウム「一般化線形モデルの最新の展開とその周辺」
    • Place of Presentation
      千葉大学理学部,千葉県
    • Data Source
      KAKENHI-PROJECT-25280008
  • [Presentation] 遺伝子発現による表現形の予測のための統計的方法2013

    • Author(s)
      江口 真透
    • Organizer
      久留米大学バイオ統計センター10周年記念第11回久留米大学バイオ統計学フォーラム
    • Place of Presentation
      久留米
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 統計的同等モデル上の尤度関数の最悪評価2012

    • Author(s)
      江口 真透
    • Organizer
      統計関連学会連合大会2012
    • Place of Presentation
      札幌
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Analysis of imaging pattern for Imaging mass spectrometry data2012

    • Author(s)
      Ushijima M, Eguchi S, Kajihara S, Matsuura M.
    • Organizer
      International Biometrics Conference 2012
    • Place of Presentation
      神戸国際会議場
    • Year and Date
      2012-08-30
    • Data Source
      KAKENHI-PROJECT-24300110
  • [Presentation] t統計量の一般化とその判別解析への応用2012

    • Author(s)
      小森 理,江口真透,コーパス ジョン
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      札幌,北海道
    • Year and Date
      2012-09-10
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power cross entropy and detectability for hidden structures2012

    • Author(s)
      S.Eguchi, A.Notsu, O.Komor
    • Organizer
      International Workshop on Anomalous Statisties, Generalized Entropies, and Information Geometry
    • Place of Presentation
      奈良女子大学(招待講演)
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry in statistics2012

    • Author(s)
      S. Eguchi
    • Organizer
      The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Tsukuba,Japan
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of a generalized t statistic for linear discrimination in the two group classification problem2012

    • Author(s)
      S. Eguchi,
    • Organizer
      Centre for Research in Statistical Methodology
    • Place of Presentation
      University of Warwick
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of a Generalized t-Statistic for Two-Class Discrimination Problem2012

    • Author(s)
      O. Komori, S. Eguchi and J. Copas
    • Organizer
      XXVI th International Biometric Conference
    • Place of Presentation
      Kobe, Japan
    • Year and Date
      2012-08-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of the generalized t-statistics for two-class discrimination problem2012

    • Author(s)
      O. Komori, S. Eguchi and J. Copas
    • Organizer
      Statistical Seminar
    • Place of Presentation
      Academia Sinica, Taipei, Taiwan
    • Year and Date
      2012-10-15
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of a generalized t statistic for linear discrimination in the two group classification problem2012

    • Author(s)
      S.Eguchi
    • Organizer
      Centre for Research in Statistical Methodology
    • Place of Presentation
      University of Warwickイギリス(招待講演)
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power cross entropy and detectability for hidden structures: part II, International Workshop on Anomalous Statistics2012

    • Author(s)
      S. Eguchi, A. Notsu and O. Komori
    • Organizer
      Generalized Entropies, and Information Geometry
    • Place of Presentation
      奈良女子大学
    • Year and Date
      2012-03-09
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Emergent estimation for means and variances towards local leaning for data structure2012

    • Author(s)
      江口真透
    • Organizer
      ISM-ISI-ISSAS Joint Conference 2012
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2012-02-02
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry in statistics2012

    • Author(s)
      Eguchi S
    • Organizer
      The 2nd Institute of Mathematical Statistics Asia Pacific Rim Meeting
    • Place of Presentation
      Tsukuba
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Projective power entropy based learning for unsupervised data2011

    • Author(s)
      S. Eguchi, O. Komori, A. Notsu
    • Organizer
      Joint Meeting of 2011 Taipei International Statistical Symposium
    • Place of Presentation
      Academia Sinica, Taiwan
    • Year and Date
      2011-12-17
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power entropy and detectability for hidden structures, Workshop on Contemporary Statistics2011

    • Author(s)
      S. Eguchi
    • Organizer
      Taida Institute for Mathematical Sciences
    • Place of Presentation
      National Taiwan University
    • Year and Date
      2011-12-20
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective entropy and maximum Tsallis entropy distributions2011

    • Author(s)
      S.Eguchi
    • Organizer
      Workshop on Information Geometry
    • Place of Presentation
      Riken Institute(招待講演)
    • Year and Date
      2011-08-31
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] エマージェント・クラスター分析2011

    • Author(s)
      江口真透
    • Organizer
      2011年度統計学会
    • Place of Presentation
      九州大学
    • Year and Date
      2011-09-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective power entropy based learning for unsupervised data2011

    • Author(s)
      S.Eguchi, O.Komori, A.Notsu
    • Organizer
      Joint Meeting of 2011 Taipei International Statistical Symposium
    • Place of Presentation
      Academia Sinica, Taiawan(招待講演)
    • Year and Date
      2011-12-17
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of t-Statistics based on one class label2011

    • Author(s)
      O.Komori, S.Eguchi
    • Organizer
      Young Statisticians Meeting
    • Place of Presentation
      Trinity College Dublin,アイルランド
    • Year and Date
      2011-08-20
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A Statistical Method for the Partial Area under the ROC Curve2010

    • Author(s)
      Osamu Komori, Shinto Eguchi
    • Organizer
      25^<th> International Biometric Conference
    • Place of Presentation
      Florianopolis, Brazil
    • Year and Date
      2010-12-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A Statistical Method for the Partial Area under the ROC Curve2010

    • Author(s)
      O. Komori, S. Eguchi
    • Organizer
      25th International Biometric Conference
    • Place of Presentation
      Florianopolis, Brazil
    • Year and Date
      2010-12-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting finite mixture model2010

    • Author(s)
      S. Eguchi
    • Organizer
      International Conference on Robust Statistics 2010
    • Place of Presentation
      Prague, Czech Republic
    • Year and Date
      2010-06-29
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] ブースティングによる混合モデルの推定2010

    • Author(s)
      小森理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      早稲田大学 東京
    • Year and Date
      2010-09-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry on model uncertainty2010

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] U-entropy and maximum entropy model2010

    • Author(s)
      S. Eguchi
    • Organizer
      Information Geometry and its Applications III
    • Place of Presentation
      Leipzig, Germany
    • Year and Date
      2010-08-02
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Beyond maximum likelihood-towards new data analyzer-2010

    • Author(s)
      江口真透
    • Organizer
      The Applied Statistics Workshop 2010
    • Place of Presentation
      東京大学大学院経済学研究科小島ホール(招待講演)
    • Year and Date
      2010-10-29
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting finite mixture model2010

    • Author(s)
      Shinto Eguchi
    • Organizer
      International Conference on Robust Statistics 2010
    • Place of Presentation
      Prague, Czech Republic(招待講演)
    • Year and Date
      2010-06-29
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting leaning algorithm and U-loss functions I and II2010

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry, statistics, and machine learning, Mathematical Sciences and Their Applications2010

    • Author(s)
      Shinto Eguchi
    • Organizer
      Mathematical Sciences and Their Applications
    • Place of Presentation
      上諏訪,長野(招待講演)
    • Year and Date
      2010-10-01
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information geometry on model uncertainty2010

    • Author(s)
      S. Eguchi and O. Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting for Maximization of the Partial Area under the ROC Curve2010

    • Author(s)
      小森理, 江口真透
    • Organizer
      統計モデルによる現象の解析,並びにその基礎理論
    • Place of Presentation
      山形テルサ 山形
    • Year and Date
      2010-10-23
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Tutorial lecture on Learning with Information Divergence Geometry2010

    • Author(s)
      Eguchi, S., Komori, O.
    • Organizer
      Taipei
    • Place of Presentation
      Taiwan
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 内部格付手法における回収率・期待損失率推計の統計モデル2010

    • Author(s)
      山下智志, 三浦翔, 江口真透
    • Organizer
      JAFEE 2010夏季大会
    • Place of Presentation
      成城大学
    • Year and Date
      2010-07-29
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] nformation divergence class and robust statistical methods I,II2010

    • Author(s)
      S. Eguchi and O. Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] U-entropy and maximum entropy model2010

    • Author(s)
      Shinto Eguchi
    • Organizer
      Information Geometry and its Applications III
    • Place of Presentation
      Leipzig, Germany(招待講演)
    • Year and Date
      2010-08-02
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting leaning algorithm and U-loss functions I and II2010

    • Author(s)
      S. Eguchi and O. Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Pattern recognition from genome and omics data2010

    • Author(s)
      Osamu Komori, Shinto Eguchi
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] ロバストなサポートベクターマシンのクラス2010

    • Author(s)
      江口真透
    • Organizer
      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-20240028
  • [Presentation] Information divergence class and robust statistical methods I, II2010

    • Author(s)
      Shinto Eguchi, Osamu Komori
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan(招待講演)
    • Year and Date
      2010-04-24
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Pattern recognition from genome and omics data2010

    • Author(s)
      O. Komori and S. Eguchi
    • Organizer
      Tutorial Workshop on Learning with Information Divergence Geometry
    • Place of Presentation
      National Taiwan University, Taipei, Taiwan
    • Year and Date
      2010-04-25
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t-Boost method for discriminant analysis with high-dimensional feature vector.2009

    • Author(s)
      江口真透、小森理
    • Organizer
      科学研究費集会「高次元データの統計学-理論・方法論・関連分野への応用-」
    • Place of Presentation
      筑波大学
    • Year and Date
      2009-12-14
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] AUC maximization in credit scoring.(Poster)2009

    • Author(s)
      Miura, K., Satoshi, Y., Eguchi, S.
    • Organizer
      Institute of Mathematical statistics Asia Pacific Rim 1st Meeting
    • Place of Presentation
      Seoul, South Korea
    • Year and Date
      2009-06-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information divergence geometry and its application to machine learning2009

    • Author(s)
      S. Eguchi,
    • Organizer
      The Fifth Statistics and Machine Learning Workshop
    • Place of Presentation
      Tainan, Taiwan
    • Year and Date
      2009-04-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximization of the partial area under the ROC curve using a boosting technique.(Poster)2009

    • Author(s)
      Komori, O., Eguchi, S.
    • Organizer
      Institute of Mathematical Statistics Asia Pacific Rim 1st Meeting
    • Place of Presentation
      Seoul, South Korea
    • Year and Date
      2009-06-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting true positive and false positive rates for pattern recognition2009

    • Author(s)
      S. Eguchi
    • Organizer
      Institute of Mathematical Statistics Asia Pacific Rim 1st Meeting
    • Place of Presentation
      Seoul, South Korea
    • Year and Date
      2009-06-29
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximizing t-values for all functions of a feature vector.(Invited)2009

    • Author(s)
      Eguchi, S
    • Organizer
      Workshop on Geometric and Algebraic Statistics
    • Place of Presentation
      Milton Keynes, U.K.
    • Year and Date
      2009-07-13
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective Tsallis Entropy and its Application to Robust Statistics.(Invited talk)2009

    • Author(s)
      Eguchi, S.
    • Organizer
      Mathematical Aspects of Generalized Entropies and their Applications.
    • Place of Presentation
      Kyoto, Japan
    • Year and Date
      2009-07-08
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 3次自然スプラインに基づくpAUCBoost2009

    • Author(s)
      小森理, 江口真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      京都, 日本
    • Year and Date
      2009-09-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Boosting true positive and false positive rates for pattern recognition(Invited)2009

    • Author(s)
      Eguchi, S
    • Organizer
      Institute of Mathematical Statistics Asia Pacific Rim 1st Meeting
    • Place of Presentation
      Seoul, South Korea
    • Year and Date
      2009-06-29
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] ゲノム関連データを解析するための新しい統計方法と機械学習の方法2009

    • Author(s)
      江口真透
    • Organizer
      日本計量生物学会
    • Place of Presentation
      チュートリアルセミナー
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective Tsallis Entropy and its Application to Robust Statistics.2009

    • Author(s)
      Eguchi, S.
    • Organizer
      Kyoto RIMS workshop on `Mathematical Aspects of Generalized Entropies and their Applications
    • Place of Presentation
      held at Kyoto TERRSA
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] タンパク質構造と進化と情報幾何2009

    • Author(s)
      江口 真透
    • Organizer
      数理研短期共同研究集会「離散力学系の分子細胞生物学への応用数理
    • Place of Presentation
      京都
    • Year and Date
      2009-01-08
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Robust QTL analysis by minimum beta-divergence method.(Invited talk)2009

    • Author(s)
      Mollah, N.H., Eguchi, S.
    • Organizer
      TRIC Symposium "Statistical and Systems Genetics"
    • Place of Presentation
      Mishima, Japan
    • Year and Date
      2009-10-22
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] t値を最大にする判別関数のブースティング2009

    • Author(s)
      江口真透, 小森理
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      京都, 日本
    • Year and Date
      2009-09-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information divergence geometry and its application to machine learning(Invited)2009

    • Author(s)
      Eguchi, S.
    • Organizer
      The Fifth Statistics and Machine Learning Workshop
    • Place of Presentation
      Tainan, Taiwan
    • Year and Date
      2009-04-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information Divergence Geometry and its application to machine learning.2009

    • Author(s)
      Eguchi, S.
    • Organizer
      The Fifth Statistics and Machine Learning Workshop
    • Place of Presentation
      at National Cheng Kung University, Tainan
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Sparse weak learner boosting for high-dimensional data.(Poster)2009

    • Author(s)
      Pritchard, M., Eguchi, S.
    • Organizer
      Institute of Mathematical statistics Asia Pacific Rim 1st Meeting
    • Place of Presentation
      Seoul, South Korea
    • Year and Date
      2009-06-28
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] AUCを用いた格付予測評価指標と重み付き最適化2009

    • Author(s)
      三浦翔, 山下智志, 江口真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      京都, 日本
    • Year and Date
      2009-09-07
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Projective Tsallis Entropy and its Application to Robust Statistics2009

    • Author(s)
      S. Eguchi
    • Organizer
      Mathematical Aspects of Generalized Entropies and their Applications
    • Place of Presentation
      Kyoto, Japan
    • Year and Date
      2009-07-08
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximizing t-values for all functions of a feature vector.2009

    • Author(s)
      Eguchi, S.
    • Organizer
      Workshop on Geometric and Algebraic Statistics
    • Place of Presentation
      The Open University, Milton Keynes.
    • Year and Date
      2009-07-13
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Maximizing t-values for all functions of a feature vector2009

    • Author(s)
      S. Eguchi
    • Organizer
      Workshop on Geometric and Algebraic Statistics
    • Place of Presentation
      Milton Keynes, U.K
    • Year and Date
      2009-07-13
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] タンパク質構造と進化と情報幾何2009

    • Author(s)
      江口, 真透
    • Organizer
      数理研短期共同研究集会「離散力学系の分子細胞生物学への応用数理」
    • Place of Presentation
      京都, 日本
    • Year and Date
      2009-01-08
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Association studies:What can we look at post statistical pattern recognition2008

    • Author(s)
      江口 真透
    • Organizer
      統計学会春期大会
    • Place of Presentation
      成城大学
    • Year and Date
      2008-03-01
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] バイオインフォマティクスにおける統計的課題について2008

    • Author(s)
      江口 真透
    • Organizer
      科研費研究集会「高次元データの統計解析」
    • Place of Presentation
      博多,福岡
    • Year and Date
      2008-11-21
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] べき関数が連想する統計学2008

    • Author(s)
      江口, 真透
    • Organizer
      Recent Advances in Statistical Inference-in Honor of Professor Masafumi
    • Place of Presentation
      つくば
    • Year and Date
      2008-12-15
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] On the bound of statistical inference for observational data2008

    • Author(s)
      S. Eguchi
    • Organizer
      International Association for Statistical Computing 2008
    • Place of Presentation
      Yokohama, Japan
    • Year and Date
      2008-12-06
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 累積分布関数のエントロピーと順序ラベルの判別への応用.2008

    • Author(s)
      江口, 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      横浜
    • Year and Date
      2008-09-09
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] A unified method for detecting single feature polymorphisms and gene expression level differences2008

    • Author(s)
      Fujisawa H, Horiuchi Y, Harushima Y, Eguchi S, Mochizuki T, Sakaguchi T, Kurata N
    • Organizer
      Pasific Symposium on Biocomputing
    • Place of Presentation
      Hawaii (USA)
    • Year and Date
      2008-01-06
    • Data Source
      KAKENHI-PROJECT-19300100
  • [Presentation] 観察データの推測の限界-揺らぎモデルアプローチ-2008

    • Author(s)
      江口真透
    • Organizer
      科研費研究集会
    • Place of Presentation
      広島大学理学部
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 局所モデル不確定性と不完全観測バイアス2008

    • Author(s)
      江口, 真透
    • Organizer
      統計関連学会連合大会, 受賞記念講演
    • Place of Presentation
      横浜, 日本
    • Year and Date
      2008-09-09
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] モデル不確定性と不完全観測バイアス2008

    • Author(s)
      江口 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      横浜,神奈川
    • Year and Date
      2008-09-09
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 累積分布関数のエントロピーと順序ラベルの判別への応用2008

    • Author(s)
      江口 真透
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      横浜,神奈川
    • Year and Date
      2008-09-09
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] バイオインフォマティクスにおける統計的課題について.2008

    • Author(s)
      江口, 真透
    • Organizer
      科研費研究集会「高次元データの統計解析」
    • Place of Presentation
      博多
    • Year and Date
      2008-11-21
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information divergence geometry and its application to machine learning2008

    • Author(s)
      S. Eguchi
    • Organizer
      The 1st MSJ-SI, Probabilistic Approach to Geometry
    • Place of Presentation
      Kyoto, Japan
    • Year and Date
      2008-08-04
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] Information divergence geometry and its application to machine learning.2008

    • Author(s)
      Eguchi, Shinto.
    • Organizer
      The 1st MSJ-SI, Probabilistic Approach to Geometry
    • Place of Presentation
      Kyoto, Japan.
    • Year and Date
      2008-08-04
    • Data Source
      KAKENHI-PROJECT-20240028
  • [Presentation] 表現形の相関研究:パタン認識の先に何が見えるか2008

    • Author(s)
      江口真透
    • Organizer
      統計学会春期大会
    • Place of Presentation
      成城大学
    • Year and Date
      2008-03-01
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Bounds of statistcal inference for observational studies-Perturbedmodel approach-2008

    • Author(s)
      江口 真透
    • Organizer
      科研費研究集会
    • Place of Presentation
      広島大学理学部
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Supervised classification of multispectral and hyperspectral images by statistical machine learning2007

    • Author(s)
      R.Nishii, S.Eguchi and S.Kawaguchi
    • Organizer
      COE Conference on the Development of Dynamic Mathematics with High Functionality
    • Place of Presentation
      Fukuoka
    • Year and Date
      2007-10-02
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Presentation] Flexible Combination of Covariates by Boosting the Area under the ROC curve2007

    • Author(s)
      小森 理・江口真透
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications,
    • Place of Presentation
      タイペイ
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 情報幾何と統計学の最近の話題2007

    • Author(s)
      江口真透
    • Organizer
      広島大学数学教室談話会
    • Place of Presentation
      広島大学
    • Year and Date
      2007-11-13
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Introduction for information geometry2007

    • Author(s)
      S. Eguchi.
    • Organizer
      Summer Seminar on Statistics 2007, Special Lecture
    • Place of Presentation
      Ibusuki
    • Year and Date
      2007-08-06
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting methods for association studies in bioinformatics2007

    • Author(s)
      江口 真透
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      タイペイ
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Information geometry and pttern recognition2007

    • Author(s)
      江口 真透
    • Organizer
      丘本正先生追悼シンポジウム
    • Place of Presentation
      大阪大学基礎工学部シグマホール
    • Year and Date
      2007-12-25
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting for maximizing Area-under-ROC-curve in classification2007

    • Author(s)
      小森 理, 江口 真透
    • Organizer
      統計関連学会
    • Place of Presentation
      神戸大学
    • Year and Date
      2007-09-07
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 判別問題におけるROCカーブの下側面積最大化のブースティング2007

    • Author(s)
      江口真透・小森 理
    • Organizer
      統計関連学会
    • Place of Presentation
      神戸大学
    • Year and Date
      2007-09-07
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting learning approach to association studies in bioinformatics2007

    • Author(s)
      江口 真透
    • Organizer
      First joint meeting between ISM and ISSAS
    • Place of Presentation
      統計数理研究所
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting learning approach to association studies in bioinformatics.2007

    • Author(s)
      江口真透
    • Organizer
      First joint meeting between ISM and ISSAS,
    • Place of Presentation
      指宿休暇村
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 情報幾何による統計的方法の開発2007

    • Author(s)
      江口真透
    • Organizer
      評価のためのシンポジウム
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2007-08-13
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Adaptively Robust Blind Audio-Signal Separation by the Minimum beta-Divergence Method2007

    • Author(s)
      Md. Nurul Hague Mollah・S. Eguchi.
    • Organizer
      10th International Conference on Computer and information Technology
    • Place of Presentation
      Dacca. Bangladesh
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Information geometry and recent developments2007

    • Author(s)
      江口 真透
    • Organizer
      広島大学数学教室談話会
    • Place of Presentation
      広島大学
    • Year and Date
      2007-11-13
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 情報幾何学への招待2007

    • Author(s)
      江口真透
    • Organizer
      サマーセミナー2007, 特別講演
    • Place of Presentation
      指宿休暇村
    • Year and Date
      2007-08-06
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Flexible Combination of Covariates by Boosting the Area under the ROC curve2007

    • Author(s)
      O. Komori・S. Eguchi.
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      Taipei
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting Method for Ordinary Data2007

    • Author(s)
      プリチャード 真理, 江口 真透
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      タイペイ
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Adaptively Robust Blind Audio-Signal Separation by the Minimum beta-Divergence Method2007

    • Author(s)
      Md.Nurul Haque Mollah, 江口 真透
    • Organizer
      10th International Conference on Computer and information Technology
    • Place of Presentation
      ダッカ,バングラデシュ
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Mislabel modeling for multi-class prediction2007

    • Author(s)
      竹之内 高志, 江口 真透
    • Organizer
      統計関連学会
    • Place of Presentation
      神戸大学
    • Year and Date
      2007-09-07
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting Method for Ordinary Data2007

    • Author(s)
      M. Prichard・S. Eguchi.
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      Taipei
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting methods for association studies in bioinformatics2007

    • Author(s)
      S.Eguchi
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      Fu Jen Catholic University(Taipei)
    • Year and Date
      2007-12-28
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Presentation] マルチクラスの判別問題におけるミスラベルのモデリング.2007

    • Author(s)
      竹之内高志・江口真透
    • Organizer
      統計関連学会
    • Place of Presentation
      神戸大学
    • Year and Date
      2007-09-07
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting methods for association studies in bioinformatics.2007

    • Author(s)
      江口真透
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications,
    • Place of Presentation
      タイペイ
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 情報幾何と統計的パタン認識2007

    • Author(s)
      江口真透
    • Organizer
      丘本正先生追悼シンポジウム,
    • Place of Presentation
      大阪大学基礎工学部シグマホール
    • Year and Date
      2007-12-25
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Statistical methods by information geometry2007

    • Author(s)
      江口 真透
    • Organizer
      評価のためのシンポジウム
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2007-08-13
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Flexible Combination of Covariates by Boosting the Area under the ROC curve2007

    • Author(s)
      小森 理, 江口 真透
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      タイペイ
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting learning approach to association studies in bioinformatics.2007

    • Author(s)
      S. Eguchi.
    • Organizer
      First joint meeting between ISM and ISSAS
    • Place of Presentation
      ISM
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting methods for association studies in bioinformatics.2007

    • Author(s)
      S. Eguchi.
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      Taipei
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] SNPを考慮した遺伝子発現データ解析2007

    • Author(s)
      藤澤洋徳,堀内陽子,春島嘉章,江口真透,望月孝子,坂口隆之,倉田のり
    • Organizer
      統計関連学会連合大会
    • Place of Presentation
      神戸大学
    • Year and Date
      2007-09-07
    • Data Source
      KAKENHI-PROJECT-19300100
  • [Presentation] Boosting Method for Ordinary Data2007

    • Author(s)
      プリチャード真理・江口真透
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications,
    • Place of Presentation
      タイペイ
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] 表現形に関連するSNP多型の探索についての統計的な検討2007

    • Author(s)
      江口真透
    • Organizer
      保健医療分野における基礎研究推進事業研究プロジェクト会議
    • Place of Presentation
      国立がんセンター研究所
    • Year and Date
      2007-07-20
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Boosting methods for association studies in bioinformatics2007

    • Author(s)
      S.Eguchi
    • Organizer
      International Conference on Multiple Decision Theory, Statistical Inference and Applications
    • Place of Presentation
      Taipei
    • Year and Date
      2007-12-28
    • Data Source
      KAKENHI-PROJECT-19300096
  • [Presentation] Introduction of information geometry2007

    • Author(s)
      江口 真透
    • Organizer
      サマーセミナー2007, 特別講演
    • Place of Presentation
      指宿
    • Year and Date
      2007-08-06
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Statistical pattern recognition2006

    • Author(s)
      S. Eguchi.
    • Organizer
      Open Seminar of Statistical Mathematics 2006
    • Place of Presentation
      ISM
    • Year and Date
      2006-11-17
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Statistical pattern recognition and genome data analysis2006

    • Author(s)
      Eguchi, Shinto
    • Organizer
      Institute of Statistical Science, Academica Sinica
    • Place of Presentation
      Taipei
    • Year and Date
      2006-12-19
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Importance sampling using estimated sampler.2006

    • Author(s)
      S. Eguchi.
    • Organizer
      Taipei International Statistical Workshop
    • Place of Presentation
      Taipei
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Statistical pattern recognition and genome data analysis2006

    • Author(s)
      S. Eguchi.
    • Organizer
      Institute of Statistical Science, Academica sinica
    • Place of Presentation
      Taipei
    • Year and Date
      2006-12-19
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Importance sampling using estimated sampler2006

    • Author(s)
      Eguchi, Shinto
    • Organizer
      Taipei International Statistical Workshop
    • Place of Presentation
      Taipei
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Tubular modelling approach to statistical method For observational studies2005

    • Author(s)
      S. Eguchi.
    • Organizer
      2nd International Symposium on Information Geometry and its Applications
    • Place of Presentation
      Sanjo Conference Hall, University of Tokyo
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Local Parametric Modeling via U-Divergence.2005

    • Author(s)
      S. Eguchi.
    • Organizer
      55th Session of International Statistical Institute at Sydney
    • Place of Presentation
      Sydney
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Tublar modelling approach to statistical method for observational studies2005

    • Author(s)
      Eguchi, Shinto
    • Organizer
      2nd International Symposium on Information Geometry and its Applications
    • Place of Presentation
      Sanjo Conference Hall,University of Tokyo
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Local Parametric Modeling via U-Divergence2005

    • Author(s)
      Eguchi, Shinto
    • Organizer
      55th Session of International Statistical Institute at Sydney
    • Place of Presentation
      Sydney
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Local Model Uncertainty and Incomplete-data Bias.2005

    • Author(s)
      J. Copas, S. Eguchi.
    • Organizer
      Read before Royal Statistical Society Ordinary, Meeting on Wednesday
    • Place of Presentation
      London
    • Year and Date
      2005-02-02
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Local Model Uncertainty and Incomplete-data Bias2005

    • Author(s)
      J.Copas and S.Eguchi
    • Organizer
      Read before Royal Statistical Society Ordinary Meeting on Wednesday
    • Place of Presentation
      London
    • Year and Date
      2005-02-02
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] A combining approach to statistical methods for p>>n problems2004

    • Author(s)
      S. Eguchi.
    • Organizer
      Workshop on Statistical Genetics at ISM
    • Place of Presentation
      ISM
    • Year and Date
      2004-09-09
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] A combining approach to statistical methods for p>>n problems2004

    • Author(s)
      Eguchi, Shinto
    • Organizer
      Workshop on Statistical Genetics at ISM
    • Place of Presentation
      統計数理研究所
    • Year and Date
      2004-11-09
    • Description
      「研究成果報告書概要(和文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Recent developments in machine learning2004

    • Author(s)
      S. Eguchi.
    • Organizer
      Open Seminar of Statistical Mathematics 2004
    • Place of Presentation
      ISM
    • Year and Date
      2004-11-24
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-16300088
  • [Presentation] Pattern Recognition for Marine Ecological Assessments

    • Author(s)
      Eguchi S
    • Organizer
      The Ninth ICSA International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data
    • Place of Presentation
      Hong Kong,china
    • Year and Date
      2013-10-20 – 2013-10-23
    • Invited
    • Data Source
      KAKENHI-PROJECT-24240042
  • [Presentation] Boosting true positive and false positive rates for pattern recognition.

    • Author(s)
      Eguchi, S., Osamu Komori
    • Organizer
      IMS-APRM
    • Place of Presentation
      Seoul
    • Data Source
      KAKENHI-PROJECT-20240028
  • 1.  MATSUURA Masaaki (40173794)
    # of Collaborated Projects: 12 results
    # of Collaborated Products: 15 results
  • 2.  USHIJIMA Masaru (60328565)
    # of Collaborated Projects: 7 results
    # of Collaborated Products: 17 results
  • 3.  KOMORI Osamu (60586379)
    # of Collaborated Projects: 7 results
    # of Collaborated Products: 78 results
  • 4.  FUJISAWA Hironori (00301177)
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    # of Collaborated Products: 23 results
  • 5.  MIYATA Satoshi (60360343)
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  • 6.  KURIKI Satoshi (90195545)
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  • 7.  Matsui Shigeyuki (80305854)
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  • 8.  HENMI Masayuki (80465921)
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  • 9.  TAKENOUCHI Takashi (50403340)
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  • 62.  NISHINA Ken (60115681)
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  • 63.  NAKANISHI Hiroko (60207834)
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  • 64.  KAI Michiaki (10185697)
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  • 76.  森 誠一 (10334814)
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  • 77.  広田 良吾 (00066599)
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  • 78.  甘利 俊一 (80010726)
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  • 79.  福水 健次 (60311362)
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  • 80.  汪 金芳 (10270414)
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  • 85.  顧 艶紅 (30470595)
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  • 86.  久保田 康裕 (50295234)
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  • 87.  Huang Su-Yun
    # of Collaborated Projects: 1 results
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  • 88.  HUNG HUNG
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 89.  COPAS John B.
    # of Collaborated Projects: 1 results
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  • 90.  KATO Shogo
    # of Collaborated Projects: 0 results
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  • 91.  川崎 能典
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 92.  岡村 寛
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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