Rchr
J-GLOBAL ID：201101064157194270   Update date: Feb. 01, 2024

Nishiyama Takahiro

Nishiyama Takahiro
Affiliation and department：
Senshu University School of Business Administration, Department of Business Administration

About Senshu University School of Business Administration, Department of Business Administration


Research field  (3)： Applied mathematics and statistics ,  Basic mathematics ,  Statistical science
Research keywords  (2)： 統計科学 ,  多変量解析
Research theme for competitive and other funds  (6)：
  • 2020 - 2024 多様な状況における統計的仮説検定方式の開発とその応用
  • 2017 - 2020 多様な状況における多重検定方式の研究
  • 2014 - 2017 Development of Multivariate Statistical Procedure for High Dimensional and Missing Data and Its Application
  • 2014 - 2017 Study on robust statistical hypothesis testing procedures in high-dimensional settings
  • 2009 - 2012 A study for the conservative multivariate multple comparison procedures among mean vectors
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Papers (25)：
  • Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko. A Behrens-Fisher problem for general factor models in high dimensions. Journal of Multivariate Analysis. 2023. 195. 105162-105162
  • Masashi Hyodo, Takahiro Nishiyama. Simultaneous testing of the mean vector andcovariance matrix among k populations for high-dimensional data. Communications in Statistics - Theory and Methods. 2021. 50. 3. 663-684
  • Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko. Testing for independence of high-dimensional variables: ρV -coefficient based approach. JOURNAL OF MULTIVARIATE ANALYSIS. 2020. 178
  • Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko. On error bounds for high-dimensional asymptotic distribution of L2-type test statistic for equality of means. Statistics & Probability Letters. 2020. 157
  • Masashi Hyodo, Takahiro Nishiyama. A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data. TEST. 2018. 27. 3. 680-699
ｍore...
MISC (13)：
  • Masashi Hyodo, Takahiro Nishiyama, Hiromasa Hayashi. High-dimensional multiple comparison procedures among mean vectors undercovariance heterogeneity. Technical Report, Statistical Research Group, Hiroshima University. 2021. No.21-03
  • 西山 貴弘, 兵頭 昌. 高次元枠組みにおける平均ベクトルに関する統計的仮説検定. 数学. 2018. 70. 1. 26-43
  • Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko. Testing independence in high-dimensional data: ρV -coefficient based approach. Technical Report, Statistical Research Group, Hiroshima University. 2018. No.18-08
  • Yuki Yamada, Masashi Hyodo, Takahiro Nishiyama. Testing block-diagonal covariance structure for high-dimensional data under non-normality. Technical Report, Statistical Research Group, Hiroshima University. 2016. No.16-04
  • Masashi Hyodo, Takahiro Nishiyama. A one-sample location test based on weighted averaging of two test statistics in high-dimensional data. arXiv. 2014. 1405.2370
ｍore...
Professional career (1)：
  • 博士(理学) (東京理科大学)
Work history (7)：
  • 2021/04 - 現在 Senshu University School of Business Administration Professor
  • 2021/04 - 現在 Tokyo University of Science Statistical Science Research Division
  • 2020/11 - 2021/08 スウェーデン王立工科大学(KTH Royal Institute of Technology) 客員研究員
  • 2020/04 - 2021/03 Tokyo University of Science Statistical Science Research Division
  • 2015/04 - 2021/03 Senshu University School of Business Administration
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Committee career (6)：
  • 2023/04 - 現在 統計関連学会連合大会 プログラム委員
  • 2022/04 - 現在 応用統計学会 理事
  • 2022/04 - 現在 応用統計学会 評議員
  • 2018/01 - 現在 Japanese Journal of Statistics and Data Science. Associate Editor
  • 2015/01 - 2018/12 日本計算機統計学会 欧文誌編集委員
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Awards (1)：
  • 2006/09 - 2006年度統計関連学会連合大会 優秀報告賞
Association Membership(s) (4)：
JAPANESE SOCIETY OF APPLIED STATISTICS ,  JAPANESE SOCIETY OF COMPUTATIONAL STATISTICS ,  THE MATHEMATICAL SOCIETY OF JAPAN ,  THE JAPAN STATISTICAL SOCIETY
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