Aoshima Makoto

Affiliation
Faculty of Pure and Applied Sciences
Official title
Professor
URL
Email
/2@D9:>2Tc_>2E9]EDF<F32]24];Aj
Office
Aoshima Laboratory
Research fields
Statistical science
Foundations of mathematics/Applied mathematics
Research keywords
Statistical Science
Ultra-High Dimensional Data
Large Complex Data
High-Dimensional Statistical Analysis
Deep Learning
Next-Generation Sequencing Data
HDLSS
Principal Component Analysis
Classification
Asymptotic Theory
Research projects
Developments of statistical compression technology for massive data having tensor structures2022 -- 2024AOSHIMA MakotoJapan Society for the Promotion of Science/Challenging Exploratory Research
Innovative Developments of Theories and Methodologies for Large Complex Data2020 -- 2024AOSHIMA MakotoJapan Society for the Promotion of Science/Grant-in-Aid for Scientific Research (A)44,460,000Yen
広汎な観測に対する因果性の導入とその最適統計推測論の革新2018 -- 2022日本学術振興会/基盤研究 (S)
非線形特徴量に基づく新たな高次元統計理論の開発とその応用2022 -- 2026日本学術振興会/基盤研究(C)
３元型時系列高次元小標本データの解析とその社会的応用2020 -- 2022日本学術振興会/基盤研究(C)
広義の非正則モデルにおけるベイズ的推測に関する研究2019 -- 2023日本学術振興会/基盤研究(C)
超高次元データによる個別化モデリングへの挑戦2019 -- 2021青嶋　誠Japan Society for the Promotion of Science/Challenging Research (Exploratory)
高次元データにおける高次漸近理論の開拓とその応用2018 -- 2021日本学術振興会/基盤研究(C)
高次計量による高次元小標本型ビックデータ解析とその社会的応用2017 -- 2019日本学術振興会/基盤研究(C)
Theories and Methodologies for Large Complex Data2015 -- 2019Makoto AoshimaJapan Society of for the Promotion of Science/Grant-in-Aid for Scientific Research (A)
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Career history
1992 -- 1994Tokyo University of ScienceAssistant Professor
1994 -- 1999Tokyo Gakugei UniversityAssociate Professor
1999 -- 2006University of TsukubaAssociate Professor
2007 -- (current)University of Tsukuba教授
Academic background
-- 1986Tokyo University of Science Faculty of Science 応用数学
-- 1992Tokyo University of Science Graduate School, Division of Natural Science 数学
Degree
Doctor of ScienceTokyo University of Science
Academic societies
-- (current)Institute of Mathematical Statistics
-- (current)International Statistical Institute
-- (current)THE JAPAN STATISTICAL SOCIETY
-- (current)日本数学会
Honors & Awards
2022日本統計学会小川研究奨励賞
2022Best Faculty Member Award (Research)
2021日本計算機統計学会奨励賞
2021応用統計学会奨励論文賞
2020Awards for Science and Technology (Research Category): the Minister of Education, Culture, Sports, Science and Technology
2020令和1年度筑波大学数理物質科学研究科研究科長賞
2020令和1年度茗渓会賞
2019Abraham Wald Prize in Sequential Analysis
2019Tokyo Academy of Physics Award: Tokyo University of Science
2019日本統計学会統計教育賞
20192019年度統計関連学会連合大会　コンペティションセッション優秀報告賞
2019第13回日本統計学会春季集会　ポスターセッション優秀発表賞
2019筑波大学校友会賞
2018-02Best Faculty Member Award (Research)
2018数学・数理科学専攻若手研究者のための異分野・異業種研究交流会2018　ベストポスター発表賞
2018Tsukuba Global Science Week 2018 Interdisciplinary Workshop on Science and Patents IWP Memorial Award
2018第12回日本統計学会春季集会　ポスターセッション優秀発表賞
2017-09HONORED EVALUATOR AWARD: JAPAN SOCIETY FOR THE PROMOTION OF SCIENCE
2017-07Japan Statistical Society Award
2017数学・数理科学専攻若手研究者のための異分野・異業種研究交流会2017　ベストポスター発表賞
2017平成28年度筑波大学数理物質科学研究科研究科長賞
2017平成28年度茗渓会賞
20162016年度統計関連学会連合大会　コンペティション講演優秀報告賞
2014第８回日本統計学会春季集会　ポスターセッション優秀発表賞
2014平成25年度筑波大学数理物質科学研究科研究科長賞
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Articles
Books
  • 高次元の統計学
    青嶋 誠; 矢田 和善
    共立出版, 2019-04
  • Book review of "Multistage Selection and Ranking Procedures : Second-Order Asymptotics, Mukhopadhyay and Solanky, Marcel Dekker, Inc.(1994)"
    青嶋 誠
    J. Japan Statist. Soc. J. Japan Statist. Soc., 1995-01
  • 多変量解析
    青嶋 誠
    数理情報科学事典　数理情報科学事典　朝倉書店, 1995-01
  • 電子情報通信基礎
    青嶋 誠
    知識ベース, 2010-01
  • Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 3
    Hayakawa; T.; Aoshima; M.; Shimizu; K.; +青嶋 誠
    American Sciences Press, 1997-01
  • Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 2
    Hayakawa; T.; Aoshima; M.; Shimizu; K.; +青嶋 誠
    American Sciences Press, 1996-01
  • Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 1
    Hayakawa; T.; Aoshima; M.; Shimizu; K.; +青嶋 誠
    American Sciences Press, 1995-01
  • Recent Advances in Statistical Inference- in Honor of Professor Masafumi Akahira
    Aoshima M.
    Taylor & Francis, 2010-01
Conference, etc.
  • Asymptotic properties of high-dimensional kernel PCA and its applications
    Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
    International Symposium on New Developments of Theories and Methodologies for Large Complex Data/2021-11-06
  • Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application
    Yata Kazuyoshi; Aoshima Makoto
    The 63rd ISI World Statistics Congress/2021-07-14
  • Tests for covariance structures in high-dimensional data
    Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
    The 4rd International Conference on Econometrics and Statistics/2021-06-26
  • Clustering by kernel PCA with Gaussian kernel and tuning for high-dimensional data
    Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
    The 4rd International Conference on Econometrics and Statistics/2021-06-26
  • High-dimensional classifiers under the strongly spiked eigenvalue model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    The 4rd International Conference on Econometrics and Statistics/2021-06-25
  • High-dimensional quadratic classifiers under the strongly spiked eigenvalue model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    IISA 2021 Conference/2021-05-21
  • 高次元スパースPCAの一致性とその応用
    矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-10--2020-09-10
  • Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model
    石井　晶; 矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-10--2020-09-10
  • 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正
    江頭　健斗; 矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-11--2020-09-11
  • 高次元小標本における異常値の検出
    中山　優吾; 矢田　和善; 青嶋　誠
    統計関連学会連合大会/2020-09-10--2020-09-10
  • Clustering by kernel principal component analysis for high-dimensional data
    中山　優吾; 矢田　和善; 青嶋　誠
    日本数学会秋季総合分科会/2020-09-24--2020-09-24
  • 高次元固有ベクトルの検定について
    石井　晶; 矢田 和善; 青嶋　誠
    日本数学会秋季総合分科会/2020-09-24--2020-09-24
  • 高次元におけるカーネル主成分分析の漸近的性質と異常値の検出への応用
    中山　優吾; 矢田　和善; 青嶋　誠
    日本数学会年度年会/2021-03-16--2021-03-16
  • 距離加重判別分析の高次元漸近的性質
    江頭　健斗; 矢田　和善; 青嶋　誠
    日本数学会年度年会/2021-03-16--2021-03-16
  • Tests for high-dimensiomal covariance structures under the SSE model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Theories and Methodologies for Large Complex Data/2019-11-21
  • A high-dimensional quadratic classifier by data transformation for strongly spiked eigenvalue models
    Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
    The 3rd International Conference on Econometrics and Statistics/2019-06-26
  • Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    The 3rd International Conference on Econometrics and Statistics/2019-06-26
  • High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS
    Aoshima Makoto
    The 7th International Workshop in Sequential Methodologies/2019-06-18
  • Tests of High-Dimensional Mean Vectors and Its Application Under the SSE Model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”/2019-02-26
  • Non-Sparse Modeling for High-Dimensional Data
    Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”/2019-02-25
  • New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation
    Aoshima Makoto
    2018 Workshop on High-Dimensional Statistical Analysis/2018-12-10
  • High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs
    Aoshima Makoto
    2018Workshop on High-Dimensional Statistical Analysis/2018-12-10
  • A high-dimensional quadratic classifier after feature selection
    Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26
  • Tests of high-dimensional mean vectors under the SSE model
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26
  • Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues
    Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
    Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”/2018-10-24
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Teaching
2022-04 -- 2022-08Seminar on Information MathematicsUniversity of Tsukuba.
2022-10 -- 2023-02Seminar on Information MathematicsUniversity of Tsukuba.
2022-04 -- 2022-08Research in Information Mathematics VAUniversity of Tsukuba.
2022-04 -- 2022-08Research in Mathematics of Information IIBUniversity of Tsukuba.
2022-10 -- 2023-02Research in Information Mathematics IIAUniversity of Tsukuba.
2022-04 -- 2022-08Research in Information Mathematics IVAUniversity of Tsukuba.
2022-10 -- 2023-02Research in Information Mathematics IIBUniversity of Tsukuba.
2022-10 -- 2023-02Research in Mathematics of Information IAUniversity of Tsukuba.
2022-10 -- 2023-02Research in Information Mathematics VBUniversity of Tsukuba.
2022-10 -- 2023-02Research in Information Mathematics IAUniversity of Tsukuba.
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Talks
  • 統計リテラシーのすすめ
    青嶋 誠
    茨城県立並木中等教育学校「数学特別講座」/2013-12-14
  • 高次元小標本のデータ科学
    青嶋 誠
    筑波大学附属駒場高校「数学特別講座」/2012-12-11
  • 高次元小標本の統計学
    青嶋 誠
    統計数理研究所共同研究集会「統計サマーセミナー2010」/2010-08-02
Professional activities
2021 -- 2022National Tsing Hua University, Taiwan R.O.C.Reviewer for the Chair Professorship
2020 -- (current)Science Council of JapanElected Member
2020 -- (current)国立研究開発法人科学技術振興機構 (JST)創発的研究支援事業 外部専門家
2018 -- 2019International Conference on Econometrics and StatisticsScientific Program Committee
2017 -- (current)文部科学省委託事業「数学アドバンストイノベーションプラットフォーム」拠点代表
2015 -- (current)Institute of Mathematical StatisticsAsia Pacific Rim Meeting: Scientific Program Committee
2004 -- (current)International Statistical InstituteElected Member
2004 -- (current)Abraham Wald Prize Committee
2000 -- (current)THE JAPAN STATISTICAL SOCIETYDirector, Fellow, Committee
1997 -- 2018日本数学会Council, Organizing Committee
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University Management
2017 -- (current)Research Core for Mathematical SciencesDirector
2020 -- 2022つくば・地域連携推進室

(Last updated: 2022-07-02)