Rchr
J-GLOBAL ID:201101064157194270   Update date: Aug. 29, 2024

Nishiyama Takahiro

Nishiyama Takahiro
Affiliation and department:
Research field  (2): Applied mathematics and statistics ,  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 (23):
  • 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
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MISC (15):
  • Kouji Tahata, Yusuke Ii, Takahiro Nishiyama. Test for symmetry in 2×2 contingency tables with nonignorable nonresponses. arXiv:2304.13591. 2023
  • Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko. A Behrens-Fisher problem for general factor models in high dimensions. Technical Report, Statistical Research Group, Hiroshima University. 2022. No.22-01
  • 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
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 (7):
  • 2024/06 - 現在 応用統計学会 企画委員
  • 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 評議員
  • 2018/01 - 現在 Japanese Journal of Statistics and Data Science. Associate Editor
  • 2022/04 - 2024/05 応用統計学会 理事
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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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