ホーム > 青嶋 誠/ Aoshima, Makoto
青嶋 誠
Aoshima, Makoto
数理物質系 数学域 , 教授 Institute of Mathematics , Professor

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第20回日本統計学会春季集会優秀発表賞
2026-03-07
青嶋 誠

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第20回日本統計学会春季集会学生優秀発表賞
2026-03-07
青嶋 誠

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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
青嶋 誠
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。
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1.
Automatic sparse estimation of the high-dimensional cross-covariance matrix
Tetsuya Umino; Kazuyoshi Yata; Makoto Aoshima
Journal of Multivariate Analysis 213: 105590 (2026) Semantic Scholar
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2.
Correlation tests for high-dimensional data under the strongly spiked eigenvalue model
Yumu Iwana; Aki Ishii; Kazuyoshi Yata; Makoto Aoshima
Japanese Journal of Statistics and Data Science (2026) Semantic Scholar
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3.
Asymptotic Properties of Kernel K-means and Its Comparison with Conventional K-means in High-Dimensional Settings
Kento Egashira; Kazuyoshi Yata; Makoto Aoshima
Procedia Computer Science 270: 495 (2025) Semantic Scholar
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4.
Automatic Sparse PCA for High-Dimensional Data
Kazuyoshi Yata; Makoto Aoshima
Statistica Sinica 35: 1069 (2025) Semantic Scholar
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5.
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
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6.
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
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7.
Asymptotic properties of hierarchical clustering in high-dimensional settings
Kento Egashira; Kazuyoshi Yata; Makoto Aoshima
Journal of Multivariate Analysis 199: 105251 (2024) Semantic Scholar
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8.
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
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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
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10.
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)
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11.
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
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12.
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
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13.
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
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14.
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)
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15.
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)
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16.
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)
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17.
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)
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18.
High-dimensional quadratic classifiers in non-sparse settings
AOSHIMA Makoto; YATA Kazuyoshi
Methodology and Computing in Applied Probability 21: 663 (2019)
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19.
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)
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20.
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)
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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
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2.
Effective Methodologies for Statistical Inference on Microarray Studies
AOSHIMA Makoto; YATA Kazuyoshi
(担当:分担執筆)
InTech 2011年
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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
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4.
Recent Advances in Statistical Inference- in Honor of Professor Masafumi Akahira
AOSHIMA Makoto
Taylor & Francis 2010年
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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
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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
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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
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8.
Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 3
HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
American Sciences Press 1997年
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9.
Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 2
HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
American Sciences Press 1996年
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10.
多変量解析
数理情報科学事典 朝倉書店 1995年
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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
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12.
Multivariate Statistical Analysis in Honor of Professor Minoru Siotani, Vol. 1
HAYAKAWA Takesi; AOSHIMA Makoto; SHIMIZU Kunio
American Sciences Press 1995年
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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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41.
Effective Classification for High-Dimension, Non-Gaussian Data and Sample Size Determination (招待講演)
AOSHIMA Makoto
Third International Workshop in Sequential Methodologies, Stanford University, California, U.S.A. 2011年6月 招待有り
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42.
Two-Stage Inference Methods for Large P, Small N Scenarios: Part II (Invited)
The Fifth International Workshop in Applied Probability, Madrid, Spain 2010年7月 招待有り
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43.
Two-Stage Inference Methods for Large P, Small N Scenarios: Part II (招待講演)
AOSHIMA Makoto
Fifth International Workshop in Applied Probability, Madrid, Spain 2010年7月 招待有り
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44.
Eigenvalue Estimation for High Dimension, Gaussian Data and Sample Size Determination (Invited)
Second International Workshop in Sequential Methodologies, Troyes, France 2009年6月 招待有り
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45.
Eigenvalue Estimation for High Dimension, Gaussian Data and Sample Size Determination (招待講演)
AOSHIMA Makoto
Second International Workshop in Sequential Methodologies,Troyes, France 2009年6月 招待有り
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46.
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
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47.
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
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48.
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
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49.
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
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50.
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
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51.
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
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52.
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
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53.
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
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54.
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
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55.
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
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56.
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
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57.
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
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58.
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
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59.
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
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60.
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
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