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
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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41.
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
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42.
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
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43.
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
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44.
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
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45.
Optimal discriminant functions for normal populations
Hirofumi Wakaki; Makoto Aoshima
J. Multiv. Anal. 100: 58 (2009) Semantic Scholar
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46.
Double shrink methodologies to determine the sample size via covariance structures
YATA Kazuyoshi; AOSHIMA Makoto
J. Statist. Plan. Infer. 139: 81 (2009) Semantic Scholar
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47.
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
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48.
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)
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49.
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)
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50.
Transformations with improved asymptotic approximations and their accuracy
SUT J. Math. 42: 97 (2006)
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51.
Statistical inference in two-stage sampling
Selected Papers on Differential Equations and Analysis, Amer. Math. Soc. Transl. 215: 125 (2005)
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52.
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)
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53.
Two-stage procedures for selecting the best component of a multivariate exponential distribution
Marcel Dekker, Inc.Applied Sequential Methodologies 19 (2004)
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54.
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
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55.
Asymptotic second-order efficiency for multivariate two-stage estimation of a linear function of normal mean vectors
Sequential Anal. 23: 333 (2004)
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56.
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
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57.
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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58.
A Two-Stage Procedure for Estimating a Linear Function of K Multinormal Mean Vectors When Covariance Matrices Are Unknown
M Aoshima; Y Takada; MS Srivastava
J. Statist. Plan. Inference 100: 109 (2002) Semantic Scholar
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59.
Bounded Risk Point Estimation of a Linear Function of K Multinormal Mean Vectors When Covariance Matrices Are Unknown
Taylor & FrancisAdvances on Theoretical and Methodological Aspects of Probability and Statistics 279 (2002)
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60.
Multivariate multistage methodologies for simultaneous all pairwise comparisons
N Mukhopadhyay; M Aoshima
Metrika 47: 185 (1998)
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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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1.
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
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2.
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
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3.
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
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4.
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
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5.
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
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6.
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
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7.
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
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8.
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
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9.
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
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10.
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
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11.
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
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12.
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
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13.
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
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14.
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
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15.
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
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16.
高次元固有空間の推測と高次元統計解析(招待講演)
青嶋 誠
第11回日本統計学会春季集会,政策研究大学院大学 2017年3月 招待有り
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17.
High-dimensional statistical analysis based on the inference of eigenstructures(招待講演)
AOSHIMA Makoto
Waseda International Symposium “High Dimensional Statistical Analysisfor Time Spatial Processes & Quantile Analysis for Time Series”, Waseda University 2017年2月 招待有り
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18.
高次元の統計学 (再び)(招待講演)
青嶋 誠
統計数理および金融数理研究セミナー, 早稲田大学 2016年4月 招待有り
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19.
High-Dimensional Classification in Non-Sparse Settings(招待講演)
AOSHIMA Makoto
Kumamoto International Symposium ``High Dimensional Statistical Analysis and Quantile Analysis for Time Series", Kumamoto University 2016年3月 招待有り
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20.
高次元の統計学 (招待講演)
青嶋 誠
日本数学会2016年度年会市民講演会, 筑波大学 2016年3月 招待有り
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