矢田 和善 / Yata, Kazuyoshi

数理物質系 准教授 / Associate Professor, Faculty of Pure and Applied Sciences

関連記事 / Related Articles in COTRE

逆問題の手法で「非破壊検査」
逆問題研究リサーチユニット
Non-Destructive Inspection by the Technique of Inverse Problem

 

論文 / Publication

  1. Hypothesis tests for high-dimensional covariance structures Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 73 599 - 622 (2021)
  2. Hypothesis tests for high-dimensional covariance structures Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS Epub (2020)
  3. Geometric consistency of principal component scores for high-dimensional mixture models and its application Yata, Kazuyoshi, Aoshima, Makoto SCANDINAVIAN JOURNAL OF STATISTICS 47 899 - 921 (2020)
  4. A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto Proceedings of the 14th Workshop on Stochastic Models, Statistics and their Application 131 - 142 (2019)
  5. Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models Aoshima, Makoto, Yata, Kazuyoshi ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 71 (3) 473 - 503 (2019)
  6. Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model Ishii, Aki, Yata, Kazuyoshi, Aoshima, Makoto Journal of Statistical Planning and Inference 202 99 - 111 (2019)
  7. Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model Isii, Aki, Yata, Kazuyoshi, Aoshima, Makoto Japanese Journal of Statistics and Data Science 2 (1) 105 - 128 (2019)
  8. Two-sample tests for high-dimension, strongly spiked eigenvalue models Makoto Aoshima, Kazuyoshi Yata 28 (1) 43 - 62 (2018)
  9. A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise Kazuyoshi Yata, Makoto Aoshima, Yugo Nakayama 37 (3) 397 - 411 (2018)
  10. Statistical inference for high-dimension, low-sample-size data Aoshima, Makoto, Yata, Kazuyoshi American Mathematical Society, Sugaku Expositions 30 137 - 158 (2017)
  11. Estimation of a signal matrix for high-dimensional non-Gaussian data (Statistical Inference on Divergence Measures and Its Related Topics) 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1999 36 - 46 (2016)
  12. 高次元小標本におけるサポートベクターマシンの一致性について (Statistical Inference on Divergence Measures and Its Related Topics) 中山, 優吾, 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1999 17 - 27 (2016)
  13. Geometric Classifier for Multiclass, High-Dimensional Data Makoto Aoshima, Kazuyoshi Yata 34 (3) 279 - 294 (2015)
  14. 拡張クロスデータ行列法と共分散行列関数の不偏推定 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1954 51 - 60 (2015)
  15. Reconstruction of a signal matrix for high-dimension, low-sample-size data (New Advances in Statistical Inference and Its Related Topics) 村山, 航, 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1954 23 - 31 (2015)
  16. 高次元小標本における混合データの幾何学的表現とクラスター分析への応用 (Asymptotic Statistics and Its Related Topics) 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1910 125 - 133 (2014)
  17. 高次元データの統計的方法論(日本統計学会研究業績賞受賞者特別寄稿論文) 青嶋, 誠, 矢田, 和善 日本統計学会誌. シリーズJ 43 (1) 123 - 150 (2013)
  18. Inference on High-Dimensional Mean Vectors with Fewer Observations Than the Dimension Kazuyoshi Yata, Makoto Aoshima 14 (3) 459 - 476 (2012)
  19. Asymptotic properties of a distance-based classifier for high-dimensional data (A New Perspective to Statistical Models and Its Related Topics) 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1804 53 - 64 (2012)
  20. Note on classification for high-dimensional data (A New Perspective to Statistical Models and Its Related Topics) 永橋, 幸大, 矢田, 和善, 青嶋, 誠 数理解析研究所講究録 1804 40 - 52 (2012)

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