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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。

1. Automatic Sparse PCA for High-Dimensional Data Kazuyoshi Yata; Makoto Aoshima
Statistica Sinica (2025) Semantic Scholar
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. 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 (2024) Semantic Scholar
4. Asymptotic properties of hierarchical clustering in high-dimensional settings Kento Egashira; Kazuyoshi Yata; Makoto Aoshima
Journal of Multivariate Analysis 199: 105251 (2024) Semantic Scholar
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. 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
数学 73: 360 (2021)
7. 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 (2021) Semantic Scholar
8. 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
9. Hypothesis tests for high-dimensional covariance structures ISHII Aki, YATA Kazuyoshi, AOSHIMA Makoto
Annals of the Institute of Statistical Mathematics 73: 599 (2021) Semantic Scholar
10. 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 49: 109 (2020)
11. Geometric consistency of principal component scores for high-dimensional mixture models and its application YATA Kazuyoshi, AOSHIMA Makoto
Scandinavian Journal of Statistics 47: 899 (2020) Semantic Scholar
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 (2020)
13. 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 (2019)
14. 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 (2019)
15. 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 (2019)
16. 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 (2019)
17. High-dimensional quadratic classifiers in non-sparse settings AOSHIMA Makoto; YATA Kazuyoshi
Methodology and Computing in Applied Probability 21: 663 (2019)
18. 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
Journal of the Japan Statistical Society Japanese issue 48: 89 (2018)
19. Two-sample tests for high-dimension, strongly spiked eigenvalue models AOSHIMA Makoto; YATA Kazuyoshi
Statistica Sinica 28: 43 (2018) Semantic Scholar
20. 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 (2018) Semantic Scholar

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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

41. Editorial Forum - A Panel Discussion (Panelist)
International IISA Conference: Frontiers of Probability and Statistical Science, Connecticut, U.S.A. 2008年5月招待有り
42. Intrinsic Dimensionality Estimation of High Dimension, Low Sample Size Data with Geometric Representation (Invited)
International IISA Conference: Frontiers of Probability and Statistical Science, Connecticut, U.S.A. 2008年5月招待有り
43. Editorial Forum - A Panel Discussion （パネリスト） AOSHIMA Makoto
International IISA Conference: Frontiers of Probability and Statistical Science, Connecticut, U.S.A. 2008年5月招待有り
44. Intrinsic Dimensionality Estimation of High Dimension, Low Sample Size Data with Geometric Representation （招待講演） AOSHIMA Makoto
International IISA Conference: Frontiers of Probability and Statistical Science, Connecticut, U.S.A. 2008年5月招待有り
45. Asymptotic Second-Order Consistency for Two-Stage Estimation Methodologies and Its Applications (Invited)
The 56th Session of the International Statistical Institute, Lisboa, Portuguese Republic 2007年8月招待有り
46. Asymptotic Second-Order Consistency for Two-Stage Estimation Methodologies and Its Applications （招待講演） AOSHIMA Makoto
The 56th Session of the International Statistical Institute, Lisboa, Portuguese Republic 2007年8月招待有り
47. Research, Practice, and Training in Sequential Methodologies: A Futuristic and Interactive Panel Discussion (Panelist)
First International Workshop in Sequential Methodologies, Alabama, U.S.A. 2007年7月招待有り
48. Asymptotic Second-Order Consistency for Two-Stage Methodologies via Covariance Structures (Invited)
First International Workshop in Sequential Methodologies, Alabama, U.S.A. 2007年7月招待有り
49. Research, Practice, and Training in Sequential Methodologies: A Futuristic and Interactive Panel Discussion （パネリスト） AOSHIMA Makoto
First International Workshop in Sequential Methodologies, Alabama, U.S.A. 2007年7月招待有り
50. Asymptotic Second-Order Consistency for Two-Stage Methodologies via Covariance Structures （招待講演） AOSHIMA Makoto
First International Workshop in Sequential Methodologies, Alabama, U.S.A. 2007年7月招待有り
51. Higher Than Second-Order Approximations Via Two-Stage Sampling for Selecting from Folded Normal Populations (Invited)
Bachhofer-Gupta-Sobel Memorial Symposium on Ranking and Selection and Multiple Comparison Procedures Methodologies, The 12th International Conference on Statistics, Combinatorics, Mathematics and Applications, Alabama, U.S.A. 2005年12月招待有り
52. Higher Than Second-Order Approximations Via Two-Stage Sampling for Selecting from Folded Normal Populations （招待講演） AOSHIMA Makoto
Bachhofer-Gupta-Sobel Memorial Symposium on Ranking and Selection and Multiple Comparison Procedures Methodologies, The 12th International Conference on Statistics, Combinatorics, Mathematics and Applications, Alabama, U.S.A. 2005年12月招待有り
53. Multiple Comparisons with a Control When Variances Are Unknown and Unequal (Invited)
International Conference on Ranking and Selection, Multiple Comparisons, Reliability and Their Applications,Chennai, India 2002年12月招待有り
54. Multiple Comparisons with a Control When Variances Are Unknown and Unequal （招待講演） AOSHIMA Makoto
International Conference on Ranking and Selection, Multiple Comparisons, Reliability and Their Applications, Chennai, India 2002年12月招待有り
55. Sample Size Determination for Multiple Comparisons with Components of a Linear Function of Mean Vectors (Invited)
The 3rd International Conference on Multiple Comparisons, Maryland, U.S.A. 2002年8月招待有り
56. Sample Size Determination for Multiple Comparisons with Components of a Linear Function of Mean Vectors （招待講演） AOSHIMA Makoto
The 3rd International Conference on Multiple Comparisons, Maryland, U.S.A. 2002年8月招待有り
57. Two-Stage Procedures in Multivariate Problems (Invited)
IISA 2000-2001 International Conference, Recent Developments in Statistics and Probability and Their Applications, New Delhi, India 2001年1月招待有り
58. Two-Stage Procedures in Multivariate Problems （招待講演） AOSHIMA Makoto
IISA 2000-2001 International Conference, Recent Developments in Statistics and Probability and Their Applications, New Delhi, India 2001年1月招待有り
59. On Some Multivariate Two-Stage Procedures (Invited)
International Conference in honor of Professor C.R. Rao on the occasion of his 80th birthday, Statistics: Reflections on the past and visions for the future, Texas, U.S.A. 2000年3月招待有り
60. On Some Multivariate Two-Stage Procedures （招待講演） AOSHIMA Makoto
International Conference in honor of Professor C.R. Rao on the occasion of his 80th birthday, Statistics: Reflections on the past and visions for the future,Texas, U.S.A. 2000年3月招待有り