Hyodou Masashi 兵頭昌

… Alternative Names

HYODO Masashi 兵頭昌

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Researcher Number	00711764
Affiliation (Current)	2025: 神奈川大学, 経済学部, 教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 神奈川大学, 経済学部, 教授 2020 – 2022: 神奈川大学, 経済学部, 准教授 2019: 大阪府立大学, 理学系研究科, 准教授 2018 – 2019: 大阪府立大学, 理学(系)研究科(研究院), 准教授 2016 – 2017: 大阪府立大学, 工学(系)研究科(研究院), 准教授
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related / Foundations of mathematics/Applied mathematics Except Principal Investigator Statistical science
Keywords	Principal Investigator 高次元データ / 因子モデル / 漸近理論 / エッジワース展開 / 一致性 / 漸近正規性 / 歪度 / 多変量分散分析 / 多重比較 / 誤差限界 … More / 正規化変換 / 仮説検定 / マルチンゲール中心極限定理 / 生物学的同等性 / 非正規母集団 / 多変量解析 / 検定論 / 高次元データ解析 … More Except Principal Investigator 欠測値データ / 欠損データ / 尤度比検定 / 漸近展開 / 多変量解析 / 多変量解析法 / 統計理論 / 統計数学 / 統計科学 Less

特殊な共分散構造に対処する新たな高次元統計理論の構築Principal Investigator
- Principal Investigator
  
  兵頭昌
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Kanagawa University
Development of new high-dimensional statistical analysis to deal with skewness of sample distributionPrincipal Investigator
- Principal Investigator
  
  Hyodo Masashi
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Kanagawa University
Proposal of hypothesis test for high-dimensional data and Its application to life sciencePrincipal Investigator
- Principal Investigator
  
  Hyodo Masashi
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Foundations of mathematics/Applied mathematics
- Research Institution
  Osaka Prefecture University
Development of Multivariate Statistical Procedure for High Dimensional and Missing Data and Its Application
- Principal Investigator
  
  SEO Takashi
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Statistical science
- Research Institution
  Tokyo University of Science

All 2023 2022 2021 2020 2019 2018 2017 2015 2014

All Journal Article Presentation Book

[Book] よくわかる！Rで身につく統計学入門2022
- Author(s)
  兵頭昌、中川智之、渡邉弘己
- Total Pages
  208
- Publisher
  共立出版
- ISBN
  9784320114791
- Data Source
  KAKENHI-PROJECT-20K11712
[Book] R・Pythonによる　統計データ科学2020
- Author(s)
  杉山高一, 藤越康祝, 塚田真一, 西山貴弘, 首藤信通, 村上秀俊, 小椋透, 竹田裕一, 榎本理恵, 櫻井哲朗, 土屋高宏, 兵頭昌, 中村好宏, 川崎玉恵, 伊谷陽祐, 杉山高聖
- Total Pages
  272
- Publisher
  勉誠出版
- ISBN
  9784585240112
- Data Source
  KAKENHI-PROJECT-17K14238
[Book] R・Pythonによる　統計データ科学2020
- Author(s)
  杉山高一, 櫻井哲朗, 土屋高宏, 兵頭昌, 中村好宏, 川崎玉恵, 伊谷陽祐, 杉山高聖, 藤越康祝, 塚田真一, 西山貴弘, 首藤信通, 村上秀俊, 小椋透, 竹田裕一, 榎本理恵
- Total Pages
  272
- Publisher
  勉誠出版
- ISBN
  458524011X
- Data Source
  KAKENHI-PROJECT-20K11712
[Book] 機械学習 ─データを読み解くアルゴリズムの技法─2017
- Author(s)
  ピーターフラッハ (著), Peter Flach (著), 竹村彰通 (監修, 翻訳), 田中研太郎 (翻訳), 小林景 (翻訳), 兵頭昌 (翻訳), 片山翔太 (翻訳), 山本倫生 (翻訳), 吉田拓真 (翻訳), 林賢一 (翻訳), 松井秀俊 (翻訳), 小泉和之 (翻訳), 永井勇 (翻訳)
- Total Pages
  392
- Publisher
  朝倉書店
- ISBN
  4254122187
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] A Behrens-Fisher problem for general factor models in high dimensions2023
- Author(s)
  Hyodo Masashi、Nishiyama Takahiro、Pavlenko Tatjana
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 195 Pages: 105162-105162
- DOI
  10.1016/j.jmva.2023.105162
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11714, KAKENHI-PROJECT-20K11712
[Journal Article] Normalizing transformation of Dempster type statistic in high-dimensional settings2022
- Author(s)
  Hyodo Masashi、Watanabe Hiroki、Nakagawa Shigekazu、Nakagawa Tomoyuki
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: ? Issue: 22 Pages: 1-18
- DOI
  10.1080/03610926.2022.2056749
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11712, KAKENHI-PROJECT-19K14597, KAKENHI-PROJECT-22K11947
[Journal Article] Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings2021
- Author(s)
  Nakagawa Tomoyuki、Watanabe Hiroki、Hyodo Masashi
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 184 Pages: 104756-104756
- DOI
  10.1016/j.jmva.2021.104756
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11712, KAKENHI-PROJECT-19K14597, KAKENHI-PROJECT-21K17716
[Journal Article] Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings2020
- Author(s)
  Watanabe Hiroki、Hyodo Masashi、Nakagawa Shigekazu
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 179 Pages: 104625-104625
- DOI
  10.1016/j.jmva.2020.104625
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K11712, KAKENHI-PROJECT-18K11206
[Journal Article] Testing for independence of high-dimensional variables: ρV-coefficient based approach2020
- Author(s)
  Hyodo Masashi、Nishiyama Takahiro、Pavlenko Tatjana
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 178 Pages: 104627-104627
- DOI
  10.1016/j.jmva.2020.104627
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00056, KAKENHI-PROJECT-20K11712
[Journal Article] On error bounds for high-dimensional asymptotic distribution of L2-type test statistic for equality of means2020
- Author(s)
  Hyodo Masashi、Nishiyama Takahiro、Pavlenko Tatjana
- Journal Title
  
  Statistics & Probability Letters
  
  Volume: 157 Pages: 108637-108637
- DOI
  10.1016/j.spl.2019.108637
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K00056, KAKENHI-PROJECT-17K14238, KAKENHI-PROJECT-20K11712
[Journal Article] Estimation of misclassification probability for a distance-based classifier in high-dimensional data2019
- Author(s)
  Hiroki Watanabe, Masashi Hyodo, Yuki Yamada and Takashi Seo
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: 印刷中
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] An approximate multivariate asymptotic expansion-based test for population bioequivalence2019
- Author(s)
  Hyodo Masashi、Onobuchi Akihiro、Kurakami Hiroyuki
- Journal Title
  
  Journal of Statistical Planning and Inference
  
  Volume: 200 Pages: 74-86
- DOI
  10.1016/j.jspi.2018.09.006
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] Asymptotic power comparison of T2-type test and likelihood ratio test for a mean vector based on two-step monotone missing data2019
- Author(s)
  Hyodo Masashi、Shutoh Nobumichi
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: - Issue: 17 Pages: 1-18
- DOI
  10.1080/03610926.2019.1597122
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] Test for equality of generalized variance in high-dimensional and large sample settings2019
- Author(s)
  Takatoshi Sugiyama, Masashi Hyodo, Hiroki Watanabe, Shin-ichi Tsukada, Takashi Seo
- Journal Title
  
  SUT Journal of Mathematics
  
  Volume: 55 Pages: 133-148
- NAID
  40022137458
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] Simultaneous testing of the mean vector and covariance matrix among k populations for high-dimensional data2019
- Author(s)
  Hyodo Masashi、Nishiyama Takahiro
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: - Issue: 3 Pages: 1-22
- DOI
  10.1080/03610926.2019.1639751
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] An estimator of misclassification probability for multi-class Euclidean distance classifier in high-dimensional data2019
- Author(s)
  Hiroki Watanabe, Takashi Seo, Masashi Hyodo
- Journal Title
  
  SUT Journal of Mathematics
  
  Volume: 印刷中
- NAID
  40022055662
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] Asymptotic power comparison of T^2-type test and likelihood ratio test for a mean vector based on two-step monotone missing data2019
- Author(s)
  Masashi Hyodo, Nobumichi Shutoh
- Journal Title
  
  Communications in Statistics - Theory and Methods
  
  Volume: 印刷中
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] Estimation of misclassification probability for a distance-based classifier in high-dimensional data2019
- Author(s)
  Hiroki Watanabe, Masashi Hyodo, Yuki Yamada, Takashi Seo
- Journal Title
  
  Hiroshima Mathematical Journal
  
  Volume: 49 Issue: 2 Pages: 175-193
- DOI
  10.32917/hmj/1564106544
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-17K00058, KAKENHI-PROJECT-17K14238
[Journal Article] On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings2018
- Author(s)
  Masashi Hyodo, Hiroki Watanabe, Takashi Seo
- Journal Title
  
  JOURNAL OF MULTIVARIATE ANALYSIS
  
  Volume: 168 Pages: 160-173
- DOI
  10.1016/j.jmva.2018.07.008
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K00058, KAKENHI-PROJECT-17K14238
[Journal Article] A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data2018
- Author(s)
  Masashi Hyodo, Takahiro Nishiyama
- Journal Title
  
  TEST
  
  Volume: 印刷中 Issue: 3 Pages: 680-699
- DOI
  10.1007/s11749-017-0567-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K00056, KAKENHI-PROJECT-17K14238
[Journal Article] Tests for the parallelism and flatness hypotheses of multi-group profile analysis for high-dimensional elliptical populations2017
- Author(s)
  Masashi Hyodo
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 162 Pages: 82-92
- NAID
  120006392574
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14238
[Journal Article] Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data2015
- Author(s)
  Hiroki Watanabe, Masashi Hyodo, Takashi Seo, Tatjana Pavlenko
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 140 Pages: 234-144
- DOI
  10.1016/j.jmva.2015.05.008
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-26330050
[Journal Article] Approximate interval estimation for EPMC for improved linear discriminant rule under high dimensional frame work2015
- Author(s)
  Masashi Hyodo, Tomohiro Mitani, Tetsuto Himeno and Takashi Seo
- Journal Title
  
  SUT Journal of Mathematics
  
  Volume: 51 Pages: 145-179
- NAID
  120006397874
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-26330050
[Presentation] 高次元枠組みにおける分散共分散行列の同等性2023
- Author(s)
  兵頭昌, 西山貴弘, 中川智之, 田畑耕治, 渡邉弘己
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] Tests for the equality of covariance matrices under a low dimensional factor structure2023
- Author(s)
  兵頭昌, 西山貴弘, 渡邉弘己, 中川智之, 田畑耕治
- Organizer
  日本計算機統計学会第37回シンポジウム
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] On the multiple comparison procedures among mean vectors for high-dimensional data under covariance heterogeneity2021
- Author(s)
  Takahiro Nishiyama, Masashi Hyodo
- Organizer
  International Conference on Econometrics and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] ユークリッド距離に基づく判別分析の変数選択について2021
- Author(s)
  中川智之，渡邉弘己，兵頭昌
- Organizer
  2021年度応用統計学会年会
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] A two sample Behrens-Fisher problem for factor models in high dimensions2021
- Author(s)
  Takahiro Nishiyama, Masashi Hyodo, Tatjana Pavlenko
- Organizer
  International Symposium on New Developments of Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] 楕円母集団から得られた2-step単調欠測データに基づく平均ベクトルの尤度比検定と検出力について2020
- Author(s)
  米口貴誠, 首藤信通, 兵頭昌
- Organizer
  日本計算機統計学会第34回シンポジウム
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] Normalized transformation of Dempster type statistic in high-dimensional setting2020
- Author(s)
  兵頭昌, 渡邉弘己, 中川重和
- Organizer
  日本計算機統計学会第34回大会
- Data Source
  KAKENHI-PROJECT-20K11712
[Presentation] 不均一分散をもつ場合における高次元多重比較法2019
- Author(s)
  林大将, 兵頭昌
- Organizer
  日本計算機統計学会第33回シンポジウム
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] On error bounds for high-dimensional asymptotic distribution of L2-type test statistic2019
- Author(s)
  Takahiro Nishiyama, Masashi Hyodo and Tatjana Pavlenko
- Organizer
  International Symposium on Theories and Methodologies for Large Complex Data
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] Asymptotic distribution of test statistic for two sample test under high-dimensional setting2019
- Author(s)
  Takahiro Nishiyama, Masashi Hyodo and Tatjana Pavlenko
- Organizer
  10th International Workshop on Simulation and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] Inference on High-dimensional Mean Vectors Under Alternative Hypothesis2019
- Author(s)
  Hiroki Watanabe, Masashi Hyodo, Takashi Seo
- Organizer
  DSSV (Data Science, Statistics & Visualization)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 高次元における共分散行列のトレースの同等性検定2019
- Author(s)
  古賀直大, 兵頭昌, 渡邉弘己, 杉山高聖
- Organizer
  日本計算機統計学会第33回シンポジウム
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 高次元大標本枠組みにおける一般化分散の同等性検定2019
- Author(s)
  杉山高聖, 兵頭昌, 渡邉弘己, 塚田真一, 瀬尾隆
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 高次元データのための平均ベクトルの差の信頼区間について2018
- Author(s)
  林大将, 兵頭昌, 瀬尾隆
- Organizer
  日本計算機統計学会大会
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] Simultaneous test for mean vectors and covariance matrices among k populations for high-dimensional data2018
- Author(s)
  T. Nishiyama, M. Hyodo
- Organizer
  International Conference on Computational Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] Testing independence in high-dimensional data: $\rho$V-coefficient based approach2018
- Author(s)
  T. Nishiyama, M. Hyodo, T. Pavlenko
- Organizer
  CFE-CMStatistics 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 複数の高次元確率ベクトル間の無相関性の検定2018
- Author(s)
  小川楓, 兵頭昌, 西山貴弘
- Organizer
  2018年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings2018
- Author(s)
  M. Hyodo, H. Watanabe
- Organizer
  CFE-CMStatistics 2018
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 高次元データに対するRV係数に基づく独立性検定2018
- Author(s)
  西山貴弘, 兵頭昌, PAVLENKO Tatjana
- Organizer
  日本計算機統計学会大会
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 多次元データのための生物学的同等性試験2017
- Author(s)
  斧渕晃宏, 兵頭昌, 倉上弘幸
- Organizer
  日本計算機統計学会第31回シンポジウム
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] Simultaneous test for mean vectors and covariance matrices in high-dimensional settings2017
- Author(s)
  Takahiro Nishiyama, Masashi Hyodo
- Organizer
  New Zealand Statistical Association and the International Association of Statistical Computing (Asian Regional Section) Joint Conference(University of Auckland, Auckland, New Zealand)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] 多標本問題に対するユークリッド距離を利用した平均ベクトルと分散共分散行列の同時検定2017
- Author(s)
  兵頭昌、西山貴弘
- Organizer
  日本数学会秋季総合分科会(山形大学)
- Data Source
  KAKENHI-PROJECT-17K14238
[Presentation] Estimation of misclassification rate for a distance-based classifier2014
- Author(s)
  山田　雄紀，兵頭　昌，瀬尾　隆
- Organizer
  科研費ワークショップ「Workshop on Statistical Methods for Large Complex Data」
- Place of Presentation
  筑波大学筑波キャンパス
- Year and Date
  2014-11-10
- Data Source
  KAKENHI-PROJECT-26330050

1. SEO Takashi (00266909)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results
2. NISHIYAMA Takahiro (30516472)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
3. KOIZUMI Kazuyuki (70548148)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. SHUTOH Nobumichi (00634099)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Hyodou Masashi 兵頭 昌

HYODO Masashi 兵頭 昌

Research Projects

Research Products

Co-Researchers

特殊な共分散構造に対処する新たな高次元統計理論の構築Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of new high-dimensional statistical analysis to deal with skewness of sample distributionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Proposal of hypothesis test for high-dimensional data and Its application to life sciencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Development of Multivariate Statistical Procedure for High Dimensional and Missing Data and Its Application

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] よくわかる！Rで身につく 統計学 入門2022

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] R・Pythonによる 統計データ科学2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] R・Pythonによる 統計データ科学2020

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] 機械学習 ─データを読み解くアルゴリズムの技法─2017

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] A Behrens-Fisher problem for general factor models in high dimensions2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Normalizing transformation of Dempster type statistic in high-dimensional settings2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Testing for independence of high-dimensional variables: ρV-coefficient based approach2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] On error bounds for high-dimensional asymptotic distribution of L2-type test statistic for equality of means2020

Author(s)

Hyodou Masashi 兵頭昌

HYODO Masashi 兵頭昌

[Book] よくわかる！Rで身につく統計学入門2022

[Book] R・Pythonによる　統計データ科学2020

[Book] R・Pythonによる　統計データ科学2020