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J-GLOBAL ID：200901022765616095   Update date: Jun. 07, 2024

Aoshima Makoto

アオシマ マコト | Aoshima Makoto
Affiliation and department：
University of Tsukuba Institute of Mathematics

About University of Tsukuba Institute of Mathematics


Job title： Professor
Other affiliations (1)：
  • University of Tsukuba  Research Core for Mathematical Sciences   Director
Homepage URL  (2)： https://www.math.tsukuba.ac.jp/~aoshima-lab/jp/ ,  https://www.math.tsukuba.ac.jp/~aoshima-lab/
Research field  (2)： Statistical science ,  Applied mathematics and statistics
Research keywords  (1)： Statistical science, Large complex data, High-dimensional statistical analysis, Asymptotic theory
Research theme for competitive and other funds  (11)：
  • 2022 - 2024 Developments of Statistical Compression Technology for Massive Data Having Tensor Structures
  • 2020 - 2024 トヨタ自動車株式会社との高次元統計解析に関する共同研究
  • 2020 - 2024 Innovative Developments of Theories and Methodologies for Large Complex Data
  • 2019 - 2021 Tackling Individualized Modeling with Ultra-High Dimensional Data
  • 2015 - 2019 Theories and Methodologies for Large Complex Data
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Papers (61)：
  • Kazuyoshi Yata, Makoto Aoshima. Automatic Sparse PCA for High-Dimensional Data. Statistica Sinica. 2025
  • Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima. Test for high-dimensional outliers with principal component analysis. Japanese Journal of Statistics and Data Science. 2024
  • Tsutomu T. Takeuchi, Kazuyoshi Yata, Kento Egashira, Makoto Aoshima, Aki Ishii, Suchetha Cooray, Kouichiro Nakanishi, Kotaro Kohno, Kai T. Kono. High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 253. The Astrophysical Journal Supplement Series. 2024. 271. 2. 44-44
  • Kento Egashira, Kazuyoshi Yata, Makoto Aoshima. Asymptotic properties of hierarchical clustering in high-dimensional settings. Journal of Multivariate Analysis. 2024. 199. 105251-105251
  • ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto. Geometric classifiers for high-dimensional noisy data. Special Issue: 50th Anniversary Jubilee Edition, Journal of Multivariate Analysis. 2022. 188. 104850
ｍore...
MISC (117)：
  • 青嶋 誠. 巻頭随筆:Japanese Journal of Statistics and Data Science 立ち上げから5 年半の歩み. 日本統計学会会報. 2023. 194. 1-3
  • 青嶋 誠. 高次元現象の統計数理. 2022年度日本数学会秋季総合分科会総合講演・企画特別講演アブストラクト. 2022. 51-61
  • 江頭健斗, 矢田和善, 青嶋 誠. 階層的クラスタリングの高次元漸近的性質について. 京都大学数理解析研究所講究録. 2022. 2221. 30-37
  • EGASHIRA Kento, YATA Kazuyoshi, AOSHIMA Makoto. Distance Weighted Discrimination for high-dimensional data. Res. Inst. Math. Sci., Kyoto University. 2020. 2157. 1-10
  • KONISHI Keisuke, YATA Kazuyoshi, AOSHIMA Makoto. High-dimensional covariance matrix estimation under the SSE model. Res. Inst. Math. Sci., Kyoto University. 2020. 2157. 11-20
ｍore...
Books (13)：
  • 高次元の統計学
    共立出版 2019
  • Effective Methodologies for Statistical Inference on Microarray Studies
    InTech 2011
  • 知識ベース知識の森
    電子情報通信学会 2011
  • Recent Advances in Statistical Inference- in Honor of Professor Masafumi Akahira
    Taylor & Francis 2010
  • Asymptotic Second-Order Efficiency for Two-Stage Multiple Comparisons with Components of a Linear Function of Mean Vectors
    Birkhauser 2005
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Lectures and oral presentations  (68)：
  • Non-Sparse Modeling for High-Dimensional Data (Special Invited)
    (Statistische Woche 2023, Dortmund, Germany 2023)
  • 高次元現象の統計数理(企画特別講演)
    (日本数学会2022年度秋季総合分科会 2022)
  • 高次元小標本の統計学:非スパース性と巨大ノイズ(特別講演)
    (統計数理研究所リスク解析戦略研究センターシンポジウム 2021)
  • High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS (Keynote Speech)
    (The 7th International Workshop in Sequential Methodologies,State University of New York, U.S.A. 2019)
  • Non-Sparse Modeling for High-Dimensional Data (Invited)
    (Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”, Waseda University 2019)
ｍore...
Works (10)：
  • 高次元統計解析による情報工学に関する共同研究
    青嶋 誠 2020 - 現在
  • 高次元統計解析による生命科学に関する共同研究
    青嶋 誠 2020 - 現在
  • 高次元統計解析による宇宙物理学に関する共同研究
    青嶋 誠 2020 - 現在
  • 高次元統計解析による機能性材料に関する共同研究
    青嶋 誠 2020 - 現在
  • Joint Research on Theory and Methodologies for High-Dimensional Data Analysis
    AOSHIMA Makoto 2003 - 現在
ｍore...
Education (2)：
  • - 1992 Tokyo University of Science Graduate School of Science
  • - 1986 Tokyo University of Science
Professional career (1)：
  • Doctor of Science (Tokyo University of Science)
Work history (5)：
  • 2017 - 現在 University of Tsukuba Research Core for Mathematical Sciences Director
  • 2007 - 現在 University of Tsukuba
  • 1999 - 2007 University of Tsukuba
  • 1994 - 1999 Tokyo Gakugei University
  • 1992 - 1994 Tokyo University of Science
Committee career (33)：
  • 2024 - 現在 統計数理研究所 運営会議 副会長
  • 2023 - 現在 Science Council of Japan Elected Member
  • 2023 - 現在 Kyoto University, Research Institute for Mathematical Sciences (RIMS) Advisory Board, Technical Committee
  • 2022 - 現在 Japanese Journal of Statistics and Data Science (JJSD) Advisory Board
  • 2020 - 現在 Statistica Sinica Associate Editor
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Awards (12)：
  • 2022 - Best Faculty Member Award (Research): University of Tsukuba
  • 2020 - Awards for Science and Technology (Research Category): The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology
  • 2019 - Abraham Wald Prize in Sequential Analysis
  • 2019 - Tokyo Academy of Physics Award: Tokyo University of Science
  • 2018 - Best Faculty Member Award (Research): University of Tsukuba
Show all
Association Membership(s) (4)：
Japan Mathematical Society ,  Japan Statistical Society ,  International Statistical Institute ,  Institute of Mathematical Statistics
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