You are here

Yata Kazuyoshi

Affiliation
Faculty of Pure and Applied Sciences
Official title
Associate Professor
Research projects
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
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.
  • Tests of High-Dimensional Mean Vectors and Its Application Under the SSE Model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”/2019-02-26
  • A high-dimensional quadratic classifier after feature selection
    Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26
  • Tests of high-dimensional mean vectors under the SSE model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26
  • Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”/2018-10-24
  • A high-dimensional quadratic classifier under the strongly spiked eigenvalue model
    Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
    The 14th Workshop on Stochastic Models, Statistics and their Application/2019-03-06--2019-03-06
  • Equality tests for high-dimensional covariance matrices
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    The 27th South Taiwan Statistics Conference/2018-06-30--2018-06-30
  • Regularized PCA for high-dimensional data based on the noise reduction methodology
    Yata Kazuyoshi; Aoshima Makoto
    Fifth Institute of Mathematical Statistics Asia Pacific Rim Meeting/2018-06-26--2018-06-26
  • Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
    Yata Kazuyoshi; Aoshima Makoto; Ishii Aki
    The 9th International Workshop on Applied Probability/2018-06-18--2018-06-18
  • Consistency properties of regularized noise reduction methodology in high-dimensional settings
    Yata Kazuyoshi; Aoshima Makoto
    The 4th International Society of NonParametric Statistics Conference/2018-06-13--2018-06-13
  • Regularized noise-reduction methodology for high-dimensional data
    Yata Kazuyoshi; Aoshima Makoto
    10th Conference of the IASC-ARS/68th Annual NZSA Conference/2017-12-13
  • High-dimensional correlation tests with sample size determination
    Yata Kazuyoshi; Aoshima Makoto
    Sixth International Workshop in Sequential Methodologies/2017-06-22
  • Estimation of low-rank matrices in high-dimensional settings
    Yata Kazuyoshi
    A Symposium on Complex Data Analysis 2017/2017-05-26
  • Effective classifiers for high-dimensional non-sparse data
    Yata Kazuyoshi; Aoshima Makoto
    International conference on information complexity and statistical modeling in high dimensions with applications/2016-05-20
  • Inference on high-dimensional covariance structures via the extended cross-data-matrix methodology
    Yata Kazuyoshi; Aoshima Makoto
    Eighth International Workshop on Applied Probability/2016-06-23
  • Inference on high-dimensional covariance structures with fewer observations than the dimension
    Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes & Quantile Analysis for Time Series”/2016-03-01
  • Two-sample tests of high-dimensional means under the strongly spiked eigenvalue model
    Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium "High Dimensional Statistical Analysis for Spatio-Temporal Processes & Quantile Analysis for Time Series"/2015-11-10
  • PCA consistency for high-dimensional multiclass mixture models and its applications
    Yata Kazuyoshi; Aoshima Makoto
    ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-13
  • Effective PCA for large p, small n scenario under generalized models
    Yata Kazuyoshi
    Sixth International Workshop on Applied Probability/2012-6-14
  • PCA Consistency for Power Spiked Model in High-Dimensional Settings
    矢田 和善; 青嶋 誠
    日本統計学会春季集会/2013-03-03
  • Power spiked モデルをもつ高次元データの固有値推定について
    矢田 和善; 青嶋 誠
    日本数学会年度会/2013-03-21
  • PCA consistency for high-dimensional data under generalized models
    矢田 和善; 青嶋 誠
    日本数学会秋季総合分科会/2012-09-20
Teaching
2019-04 -- 2019-08Research in Information Mathematics VBUniversity of Tsukuba.
2019-04 -- 2019-08Research in Information Mathematics IVBUniversity of Tsukuba.
2019-10 -- 2020-02Research in Information Mathematics IIAUniversity of Tsukuba.
2019-10 -- 2020-02Research in Information Mathematics IIIAUniversity of Tsukuba.
2019-10 -- 2020-02Research in Information Mathematics IVAUniversity of Tsukuba.
2019-10 -- 2020-02Research in Information Mathematics IVBUniversity of Tsukuba.
2019-10 -- 2020-02Research in Information Mathematics IAUniversity of Tsukuba.
2019-10 -- 2020-02Research in Information Mathematics IIIBUniversity of Tsukuba.
2019-04 -- 2019-08Research in Information Mathematics IBUniversity of Tsukuba.
2019-04 -- 2019-08Research in Information Mathematics IVAUniversity of Tsukuba.
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
2018-01 -- (current)Japanese Journal of Statistics and Data Science Associate Editor
2017-06 -- 2017-12THE JAPAN STATISTICAL SOCIETY日本統計学会欧文誌 編集委員
2015-07 -- 2017-06日本数学会日本数学会『数学』常任編集委員

(Last updated: 2019-06-12)