研究者
J-GLOBAL ID:201201002699787589   更新日: 2020年10月14日

矢田 和善

ヤタ カズヨシ | Yata Kazuyoshi
所属機関・部署:
職名: 准教授
競争的資金等の研究課題 (1件):
  • 2018 - 2022 高次元データにおける高次漸近理論の開拓とその応用
論文 (40件):
  • Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto. Hypothesis tests for high-dimensional covariance structures. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS. 2020. Epub
  • Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto. Hypothesis tests for high-dimensional covariance structures. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS. 2020. Epub
  • Yata, Kazuyoshi, Aoshima, Makoto. Geometric consistency of principal component scores for high-dimensional mixture models and its application. SCANDINAVIAN JOURNAL OF STATISTICS. 2019. Epub
  • Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto. A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model. Proceedings of the 14th Workshop on Stochastic Models, Statistics and their Application. 2019. 131-142
  • Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto. Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model. JOURNAL OF STATISTICAL PLANNING AND INFERENCE. 2019. 202. 99-111
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書籍 (1件):
  • 高次元の統計学
    共立出版 2019 ISBN:9784320112636
講演・口頭発表等 (21件):
  • Tests for high-dimensiomal covariance structures under the SSE model
    (International Symposium on Theories and Methodologies for Large Complex Data 2019)
  • Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure
    (The 3rd International Conference on Econometrics and Statistics 2019)
  • A high-dimensional quadratic classifier by data transformation for strongly spiked eigenvalue models
    (The 3rd International Conference on Econometrics and Statistics 2019)
  • A high-dimensional quadratic classifier under the strongly spiked eigenvalue model
    (The 14th Workshop on Stochastic Models, Statistics and their Application 2019)
  • Tests of High-Dimensional Mean Vectors and Its Application Under the SSE Model
    (Waseda International Symposium “Introduction of General Causality to Various Data & its Applications” 2019)
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委員歴 (2件):
  • 2018/01 - 現在 Japanese Journal of Statistics and Data Science Associate Editor
  • 2017/06 - 2017/12 日本統計学会 日本統計学会欧文誌 編集委員
受賞 (2件):
  • 2012/09/10 - 一般社団法人 日本統計学会 日本統計学会研究業績賞
  • 2012/06/13 - Sequential Analysis Abraham Wald Prize in Sequential Analysis 2012
所属学会 (2件):
日本統計学会 ,  日本数学会
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