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青嶋 誠

Aoshima, Makoto

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

https://www.math.tsukuba.ac.jp/~aoshima-lab/jp/

2024年度統計関連学会連合大会　優秀報告賞 理工情報生命学術院　海野 哲也

2024-09-17

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

2017-03-21

矢田 和善
極寒の南極大陸から挑む銀河の 形成、進化の解明
数物連携による南極天文学の推進リサーチユニット
Clarification of Galaxy Formation and Evolution Challenges on the Extremely Cold Antarctic Continent

2017-03-07

梅村 雅之 吉川 耕司 金 信弘 森 正夫 中井 直正
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Automatic Sparse PCA for High-Dimensional Data Kazuyoshi Yata; Makoto Aoshima
      Statistica Sinica (2025) Semantic Scholar
  2. 2. Test for high-dimensional outliers with principal component analysis Yugo Nakayama; Kazuyoshi Yata; Makoto Aoshima
      Japanese Journal of Statistics and Data Science (2024) Semantic Scholar
  3. 3. High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 253 Tsutomu T. Takeuchi; Kazuyoshi Yata; Kento Egashira; Makoto Aoshima (+4 著者) Kai T. Kono
      The Astrophysical Journal Supplement Series 271: 44 - 44 (2024) Semantic Scholar
  4. 4. Asymptotic properties of hierarchical clustering in high-dimensional settings Kento Egashira; Kazuyoshi Yata; Makoto Aoshima
      Journal of Multivariate Analysis 199: 105251 - 105251 (2024) Semantic Scholar
  5. 5. Geometric classifiers for high-dimensional noisy data ISHII Aki; YATA Kazuyoshi; AOSHIMA Makoto
      Special Issue: 50th Anniversary Jubilee Edition, Journal of Multivariate Analysis 188: 104850 (2022) Semantic Scholar
  6. 6. Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data EGASHIRA Kento; YATA Kazuyoshi; AOSHIMA Makoto
      Japanese Journal of Statistics and Data Science 4: 821 - 840 (2021) Semantic Scholar
  7. 7. Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings NAKAYAMA Yugo; YATA Kazuyoshi; AOSHIMA Makoto
      Journal of Multivariate Analysis 185: 104779 (2021) Semantic Scholar
  8. 8. Hypothesis tests for high-dimensional covariance structures ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto
      Annals of the Institute of Statistical Mathematics 73: 599 - 622 (2021) Semantic Scholar
  9. 9. 論説：高次元小標本における統計的仮説検定 青嶋 誠; 石井 晶; 矢田和善
      73: 360 - 379 (2021)
  10. 10. 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) Semantic Scholar
  11. 11. 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
      49: 109 - 125 (2020)
  12. 12. 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)
  13. 13. 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)
  14. 14. 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)
  15. 15. 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)
  16. 16. High-dimensional quadratic classifiers in non-sparse settings AOSHIMA Makoto; YATA Kazuyoshi
      Methodology and Computing in Applied Probability 21: 663 - 682 (2019)
  17. 17. 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)
  18. 18. A survey of high dimension low sample size asymptotics AOSHIMA Makoto; SHEN Dan; SHEN Haipeng; YATA Kazuyoshi (+1 著者) MARRON J.S
      Australian & New Zealand Journal of Statistics: Special Issue in Honour of Peter Gavin Hall 60: 4 - 19 (2018) Semantic Scholar
  19. 19. 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: 397 - 411 (2018) Semantic Scholar
  20. 20. Two-sample tests for high-dimension, strongly spiked eigenvalue models AOSHIMA Makoto; YATA Kazuyoshi
      Statistica Sinica 28: 43 - 62 (2018) Semantic Scholar
1 2 3 4
  1. 1. 高次元の統計学 青嶋 誠; 矢田和善 (担当:共著)
    共立出版 2019年
  2. 2. Effective Methodologies for Statistical Inference on Microarray Studies AOSHIMA Makoto; YATA Kazuyoshi (担当:分担執筆)
    InTech 2011年
  3. 3. 知識ベース知識の森 青嶋 誠 (担当:分担執筆, 範囲:12群 電子情報通信基礎: 3編 統計・確率)
    電子情報通信学会 2011年
  4. 4. Recent Advances in Statistical Inference- in Honor of Professor Masafumi Akahira AOSHIMA Makoto
    Taylor & Francis 2010年
  5. 5. Asymptotic Second-Order Efficiency for Two-Stage Multiple Comparisons with Components of a Linear Function of Mean Vectors AOSHIMA Makoto; KUSHIDA Takuya (担当:分担執筆)
    Birkhauser 2005年
  6. 6. Two-Stage Procedures for Selecting the Best Component of a Multivariate Exponential Distribution AOSHIMA Makoto; AOKI Mitsuru; KAI Masaki (担当:分担執筆)
    Dekker 2004年
  7. 7. Bounded Risk Point Estimation of a Linear Function of K Multinormal Mean Vectors When Covariance Matrices Are Unknown AOSHIMA Makoto; TAKADA Yoshikazu (担当:分担執筆)
    Taylor & Francis 2002年
  8. 8. Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 3 HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
    American Sciences Press 1997年
  9. 9. Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 2 HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
    American Sciences Press 1996年
  10. 10. 多変量解析
    数理情報科学事典 朝倉書店 1995年
  11. 11. Book review of "Multistage Selection and Ranking Procedures : Second-Order Asymptotics, Mukhopadhyay and Solanky, Marcel Dekker, Inc.(1994)"
    J. Japan Statist. Soc. 1995年
  12. 12. Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 1 HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
    American Sciences Press 1995年
  13. 13. Note on Testing the Goodness-of-Fit for Intraclass Correlation Model SIOTANI Minoru; AOSHIMA Makoto (担当:分担執筆)
    Elsevier Science Publishers 1988年

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