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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/

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。

41. Editor's Special Invited Paper: Two-stage procedures for high-dimensional data AOSHIMA Makoto; YATA Kazuyoshi
Sequential Analysis 30: 356 (2011) Semantic Scholar
42. Authors' Response: Two-stage procedures for high-dimensional data AOSHIMA Makoto; YATA Kazuyoshi
Sequential Analysis 30: 432 (2011) Semantic Scholar
43. Two-stage procedures for estimating the difference of means when the sampling cost is different Makoto Aoshima; Nitis Mukhopadhyay; Yuko Kobayashi
SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS 30: 160 (2011) Semantic Scholar
44. Intrinsic dimensionality estimation of high dimension, low sample size data with d-asymptotics YATA Kazuyoshi; AOSHIMA Makoto
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 39: 1511 (2010) Semantic Scholar
45. Asymptotic second-order consistency for two-stage estimation methodologies and its applications AOSHIMA Makoto; YATA Kazuyoshi
Ann. Inst. Statist. Math. 62: 571 (2010) Semantic Scholar
46. Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix YATA Kazuyoshi; AOSHIMA Makoto
JOURNAL OF MULTIVARIATE ANALYSIS 101: 2060 (2010) Semantic Scholar
47. Asymptotically optimal allocation for multiple comparisons with a control when variances are unknown and unequal Makoto Aoshima; Yoshikazu Takada
American Journal of Mathematical and Management Sciences 29: 125 (2009) Semantic Scholar
48. Optimal discriminant functions for normal populations Hirofumi Wakaki; Makoto Aoshima
J. Multiv. Anal. 100: 58 (2009) Semantic Scholar
49. Double shrink methodologies to determine the sample size via covariance structures YATA Kazuyoshi; AOSHIMA Makoto
J. Statist. Plan. Infer. 139: 81 (2009) Semantic Scholar
50. PCA consistency for non-Gaussian data in high dimension, low sample size context YATA Kazuyoshi; AOSHIMA Makoto
Communications in Statistics - Theory and Methods 38: 2634 (2009) Semantic Scholar
51. 事前に決定された精度を持つ同時推定法
日本統計学会誌 36: 65 (2006)
52. Second-order efficiency for two-stage estimation of a linear function of normal mean vectors when covariance matrices have some structures
Sequential Analysis 25: 327 (2006)
53. Transformations with improved asymptotic approximations and their accuracy
SUT J. Math. 42: 97 (2006)
54. Asymptotic second-order efficiency for two-stage multiple comparisons with components of a linear function of mean vectors
BirkhauserAdvances in Ranking and Selection, Multiple Comparisons, and Reliability: Methodology and Applications 191 (2005)
55. Statistical inference in two-stage sampling
Selected Papers on Differential Equations and Analysis, Amer. Math. Soc. Transl. 215: 125 (2005)
56. Two-stage procedures for selecting the best component of a multivariate exponential distribution
Marcel Dekker, Inc.Applied Sequential Methodologies 19 (2004)
57. Asymptotic second-order efficiency for multivariate two-stage estimation of a linear function of normal mean vectors
Sequential Anal. 23: 333 (2004)
58. Percentage points of the largest among Student's T random variable N Mukhopadhyay; M Aoshima
Methodology and Computing in Applied Probability 6: 161 (2004) Semantic Scholar
59. Sequential procedures for selecting the most probable multinomial cell when a nuisance cell is present M Aoshima; PY Chen; S Panchapakesan
Commun. Statist. Theory and Methods 32: 893 (2003) Semantic Scholar
60. 論説：二段階標本抽出による統計的推測
数学 54: 365 (2002)

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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. Effective Methodologies for Statistical Inference on Microarray Studies AOSHIMA Makoto; YATA Kazuyoshi (担当:分担執筆)
InTech 2011年
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. Recent Advances in Statistical Inference- in Honor of Professor Masafumi Akahira AOSHIMA Makoto
Taylor & Francis 2010年
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. 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. 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. Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 3 HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
American Sciences Press 1997年
9. Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 2 HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
American Sciences Press 1996年
10. 多変量解析
数理情報科学事典朝倉書店 1995年
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. Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 1 HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
American Sciences Press 1995年
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

1. 高次元小標本の統計学－次元の呪いを超えて (基調講演) 青嶋誠
CREST １細胞数理第3回会合 2026年3月16日招待有り
2. 総合討論青嶋誠
日本学術会議公開シンポジウム「AI時代における統計科学・データサイエンスの役割と挑戦－公平性、信頼性、解釈可能性、AIガバナンスの観点から」 2026年2月17日招待有り
3. AIの不確実性への挑戦－高次元小標本の統計学からのアプローチ (招待講演) 青嶋誠
日本学術会議公開シンポジウム「AI時代における統計科学・データサイエンスの役割と挑戦－公平性、信頼性、解釈可能性、AIガバナンスの観点から」 2026年2月17日招待有り
4. 高次元小標本の統計学 (特別講演) 青嶋誠
中央大学理工学研究所2025年度第1回特別講演会 2025年10月28日招待有り
5. High-dimension, low-sample-size analysis: automatic sparse estimation and geometric insights in non-sparse spiked models (基調講演) AOSHIMA Makoto
The 8th International Conference on Econometrics and Statistics (EcoSta 2025), Waseda University 2025年8月招待有り
6. Non-Sparse Modeling for High-Dimensional Data (特別招待講演) AOSHIMA Makoto
Statistische Woche 2023, Dortmund, Germany 2023年9月招待有り
7. 高次元現象の統計数理（企画特別講演）青嶋誠
日本数学会2022年度秋季総合分科会 2022年9月招待有り
8. 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）青嶋誠
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年9月招待有り
9. High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS (基調講演) AOSHIMA Makoto
The 7th International Workshop in Sequential Methodologies, State University of New York, U.S.A. 2019年6月招待有り
10. Non-Sparse Modeling for High-Dimensional Data (招待講演) AOSHIMA Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”, Waseda University 2019年2月招待有り
11. New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation (基調講演) AOSHIMA Makoto
2018 Workshop on High-Dimensional Statistical Analysis, Academia Sinica, Taiwan 2018年12月招待有り
12. High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs (基調講演) AOSHIMA Makoto
2018 Workshop on High-Dimensional Statistical Analysis, Academia Sinica, Taiwan 2018年12月招待有り
13. New techniques in high-dimensional statistical analysis (招待講演) AOSHIMA Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”, Waseda University 2018年10月招待有り
14. 計量生物学における高次元統計解析の可能性（招待講演）青嶋誠
2018年度統計関連学会連合大会，中央大学 2018年9月招待有り
15. High-dimensional statistical analysis: Spiked models and data transformation（特別招待講演） AOSHIMA Makoto
The 2nd International Conference on Econometrics and Statistics, City University of Hong Kong, Hong Kong 2018年6月招待有り
16. High-dimensional statistical analysis under spiked models（招待講演） AOSHIMA Makoto
The Fourth Conference of the International Society for Nonparametric Statistics, Salerno, Italy 2018年6月招待有り
17. High-Dimensional Statistical Analysis by Non-Sparse Modeling（招待講演） AOSHIMA Makoto
Waseda International Symposium “Recent Developments in Time Series Analysis: Quantile Regression, High Dimensional Data & Causality", Waseda University 2018年2月招待有り
18. 高次元統計解析：理論・方法論とその周辺（日本統計学会賞受賞者記念講演）青嶋誠
2017年度統計関連学会連合大会，南山大学 2017年9月招待有り
19. PCA based clustering for ultrahigh-dimensional data（招待講演） AOSHIMA Makoto
The 1st International Conference on Econometrics and Statistics, Hong Kong University of Science and Technology, Hong Kong 2017年6月招待有り
20. High-dimensional Statistical Analysis for the SSE Model（招待講演） AOSHIMA Makoto
A Symposium on Complex Data Analysis 2017, National Tsing Hua University, Hsinchu, Taiwan 2017年5月招待有り