YATA Kazuyoshi

Affiliation
Institute of Pure and Applied Sciences
Official title
Professor
Research keywords
高次元統計解析
高次元小標本データ
高次元統計的推測
高次元判別分析
高次元主成分分析
高次元クラスター分析
パスウェイ解析
機械学習
多変量解析
逐次解析
Research projects
非線形特徴量に基づく新たな高次元統計理論の開発とその応用2022 -- 2025矢田 和善Japan Society for the Promotion of Science/Grant-in-Aid for Scientific Research(C)4,030,000Yen
高次元データにおける高次漸近理論の開拓とその応用2018-04 -- 2022-03矢田 和善Japan Society of for the Promotion of Science/
高次元漸近理論の統一的研究2014 -- 2017矢田　和善Japan Society for the Promotion of Science/若手研究(B)3,640,000Yen
高次元小標本の理論的体系の構築2012 -- 2013Japan Society of for the Promotion of Science/若手研究(B)2,080,000Yen
高次元データの理論と方法論の総合的研究2010 -- 2014Japan Society of for the Promotion of Science/基盤研究(B)
高速で頑健かつ高精度な多変量統計手法の新展開2011 -- 2013Japan Society of for the Promotion of Science/挑戦的萌芽研究
Career history
2016-05 -- (current)筑波大学准教授
2010-04 -- 2016-04筑波大学助教
Degree
2010-03理学(博士)University of Tsukuba
Academic societies
2009 -- (current)日本数学会
2009 -- (current)THE JAPAN STATISTICAL SOCIETY
Honors & Awards
2023-022022年度 BEST FACULTY MEMBER (筑波大学)
2019-06Abraham Wald Prize in Sequential Analysis 2019
2012-09-10日本統計学会研究業績賞
2012-06-13Abraham Wald Prize in Sequential Analysis 2012
Articles
Books
  • 高次元の統計学
    青嶋 誠; 矢田 和善
    共立出版, 2019-04
Conference, etc.
  • Asymptotic properties of kernel k-means for high dimensional data
    EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
    International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data/2023-12-07
  • Inference on high-dimensional mean vectors by the data transformation technique
    YATA Kazuyoshi; AOSHIMA Makoto
    IMS Asia Pacific Rim Meeting 2024/2024-01-07
  • Asymptotic properties of kernel k-means under high dimensional settings
    EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
    IMS Asia Pacific Rim Meeting 2024/2024-01-07
  • Quadratic classifiers for high-dimensional noisy data
    ISHII Aki; YATA Kazuyoshi; AOSHIMA Makoto
    The 6th International Conference on Econometrics and Statistics/2023-08-02
  • Estimation of the strongly spiked eigenstructure in high-dimensional settings
    矢田 和善; ISHII Aki; AOSHIMA Makoto
    The 6th International Conference on Econometrics and Statistics/2023-08-01
  • Asymptotic behaviors of k-means under high dimensional settings
    EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
    The 6th International Conference on Econometrics and Statistics/2023-08-01
  • Contrastive principal component analysis in high dimension low sample size
    S.-H. Wang; 矢田 和善
    The 6th International Conference on Econometrics and Statistics/2023-08-01
  • Asymptotic behaviors of hierarchical clustering under high dimensional settings
    Egashira Kento; Yata Kazuyoshi; Aoshima Makoto
    The 5th International Conference on Econometrics and Statistics/2022-06-04
  • Test for outlier detection by high-dimensional PCA
    Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
    The 5th International Conference on Econometrics and Statistics/2022-06-05
  • Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its application
    Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
    The 5th International Conference on Econometrics and Statistics/2022-06-05
  • 強スパイク固有値モデルにおける高次元統計的推測
    矢田 和善
    応用統計学会年会特別講演/2022-05-12
  • Asymptotic properties of high-dimensional kernel PCA and its applications
    Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
    International Symposium on New Developments of Theories and Methodologies for Large Complex Data/2021-11-06
  • Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application
    Yata Kazuyoshi; Aoshima Makoto
    The 63rd ISI World Statistics Congress/2021-07-14
  • Tests for covariance structures in high-dimensional data
    Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
    The 4th International Conference on Econometrics and Statistics/2021-06-26
  • Clustering by kernel PCA with Gaussian kernel and tuning for high-dimensional data
    Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
    The 4th International Conference on Econometrics and Statistics/2021-06-26
  • High-dimensional classifiers under the strongly spiked eigenvalue model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    The 4th International Conference on Econometrics and Statistics/2021-06-25
  • High-dimensional quadratic classifiers under the strongly spiked eigenvalue model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    IISA 2021 Conference/2021-05-21
  • 高次元スパースPCAの一致性とその応用
    矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-10--2020-09-10
  • Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model
    石井　晶; 矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-10--2020-09-10
  • 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正
    江頭　健斗; 矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-11--2020-09-11
  • 高次元小標本における異常値の検出
    中山　優吾; 矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-10--2020-09-10
  • Clustering by kernel principal component analysis for high-dimensional data
    中山　優吾; 矢田　和善; 青嶋　誠
    日本数学会秋季総合分科会/2020-09-24--2020-09-24
  • 高次元固有ベクトルの検定について
    石井　晶; 矢田 和善; 青嶋　誠
    日本数学会秋季総合分科会/2020-09-24--2020-09-24
  • 距離加重判別分析の高次元漸近的性質
    江頭　健斗; 矢田　和善; 青嶋　誠
    日本数学会年度年会/2021-03-16--2021-03-16
  • 高次元におけるカーネル主成分分析の漸近的性質と異常値の検出への応用
    中山　優吾; 矢田　和善; 青嶋　誠
    日本数学会年度年会/2021-03-16--2021-03-16
  • more...
Teaching
2024-04 -- 2024-08Research in Information Mathematics VAUniversity of Tsukuba.
2024-04 -- 2024-08Research in Information Mathematics IIIAUniversity of Tsukuba.
2024-10 -- 2025-02Research in Information Mathematics IVBUniversity of Tsukuba.
2024-10 -- 2025-02Research in Mathematics of Information IIAUniversity of Tsukuba.
2024-10 -- 2025-02Research in Mathematics of Information IAUniversity of Tsukuba.
2024-10 -- 2025-02Research in Information Mathematics VAUniversity of Tsukuba.
2024-04 -- 2024-08Research in Mathematics of Information IIBUniversity of Tsukuba.
2024-10 -- 2025-02Research in Mathematics of Information IVBUniversity of Tsukuba.
2024-04 -- 2024-08Seminar on MathematicsUniversity of Tsukuba.
2024-10 -- 2025-02Seminar on MathematicsUniversity of Tsukuba.
more...
Talks
  • Effective PCA for large p, small n context with sample size determination
    kazuyoshi Yata
    Third International Workshop in Sequential Methodologies 2011/2011-06-15
  • 高次元小標本における統計的推測
    矢田和善
    日本数学会秋季総合分科会特別講演/2011-09-30
Professional activities
2022-11 -- (current)Institute of Mathematical StatisticsInstitute of Mathematical Statistics Asia Pacific Rim Meeting 　 Scientific Committee
2021-09 -- (current)Journal of Multivariate AnalysisJournal of Multivariate Analysis　 Associate Editor
2018-03 -- (current)Sequential AnalysisSequential Analysis 　 Associate Editor
2018-01 -- (current)Japanese Journal of Statistics and Data ScienceJapanese Journal of Statistics and Data Science　Associate Editor
2021-10 -- 2022-06International Conference on Econometrics and StatisticsInternational Conference on Econometrics and Statistics 　 Scientific Committee
2018-05 -- 2022-04応用統計学会応用統計学会 学会誌　編集委員
2017-06 -- 2017-12THE JAPAN STATISTICAL SOCIETY日本統計学会欧文誌　編集委員
2017-04 -- 2021-03日本数学会日本数学会統計数学分科会(統計関連分野)　運営委員
2015-07 -- 2017-06日本数学会日本数学会『数学』　常任編集委員
Other activities
2021 -- (current)数研出版　高校教科書「数学シリーズ」 （大島利雄、加藤文元、川中宣明、逆井卓也、坪井俊、 服部哲弥、深谷賢治、矢田和善、他6名 著）の執筆

(Last updated: 2024-09-18)