青嶋 誠 / Aoshima, Makoto

数理物質系 数学域 教授 / Professor, Institute of Mathematics

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論文 / Publication

  1. 論説:高次元小標本における統計的仮説検定 石井 晶, 矢田和善, 青嶋 誠 数学 73 (2021)
  2. 単一強スパイク固有値モデルにおける高次元平均ベクトルの2標本検定 石井 晶, 矢田和善, 青嶋 誠 応用統計学 (2020)
  3. Hypothesis tests for high-dimensional covariance structures ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto Annals of the Institute of Statistical Mathematics (2020)
  4. 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)
  5. Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings NAKAYAMA Yugo, YATA Kazuyoshi, AOSHIMA Makoto Annals of the Institute of Statistical Mathematics 72 1257 - 1286 (2020)
  6. A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto Stochastic Models, Statistics and Their Applications, Proceedings of the 14th Workshop on Stochastic Models, Statistics and their Application 131 - 142 (2019)
  7. 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)
  8. Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto Japanese Journal of Statistics and Data Science 2 105 - 128 (2019)
  9. Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models AOSHIMA Makoto, YATA Kazuyoshi Annals of the Institute of Statistical Mathematics 71 473 - 503 (2019)
  10. High-dimensional quadratic classifiers in non-sparse settings AOSHIMA Makoto, YATA Kazuyoshi Methodology and Computing in Applied Probability 21 663 - 682 (2019)
  11. A survey of high dimension low sample size asymptotics AOSHIMA Makoto, SHEN Dan, SHEN Haipeng, YATA Kazuyoshi, ZHOU Yi‐Hui, MARRON J.S Australian & New Zealand Journal of Statistics: Special Issue in Honour of Peter Gavin Hall 60 (1) 4 - 19 (2018)
  12. Two-sample tests for high-dimension, strongly spiked eigenvalue models AOSHIMA Makoto, YATA Kazuyoshi Statistica Sinica 28 (1) 43 - 62 (2018)
  13. A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise YATA Kazuyoshi, AOSHIMA Makoto, NAKAYAMA Yugo Sequential Analysis 37 (3) 397 - 411 (2018)
  14. 高次元統計解析: 理論と方法論の新しい展開(日本統計学会賞受賞者特別寄稿論文) 青嶋 誠 日本統計学会誌 48 (1) 89 - 111 (2018)
  15. Support vector machine and its bias correction in high-dimension, low-sample-size settings NAKAYAMA Yugo, YATA Kazuyoshi, AOSHIMA Makoto Journal of Statistical Palnning and Inference 191 88 - 100 (2017)
  16. Statistical inference for high-dimension, low-sample-size data AOSHIMA Makoto, YATA Kazuyoshi American Mathematical Society, Sugaku Expositions 30 137 - 158 (2017)
  17. High-dimensional inference on covariance structures via the extended cross-data-matrix methodology YATA Kazuyoshi, AOSHIMA Makoto J. Multivariate Analysis 151 151 - 166 (2016)
  18. Reconstruction of a high-dimensional low-rank matrix YATA Kazuyoshi, AOSHIMA Makoto Electronic Journal of Statistics 10 (1) 895 - 917 (2016)
  19. Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto Journal of Statistical Planning and Inference 170 186 - 199 (2016)
  20. Non-asymptotic results for Cornish-Fisher expansions ULYANOV Vladimir, AOSHIMA Makoto, FUJIKOSHI Yasunori Journal of Mathematical Sciences 218 (3) 363 - 368 (2016)

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