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。
- 21. A survey of high dimension low sample size asymptotics AOSHIMA Makoto; SHEN Dan; SHEN Haipeng; YATA Kazuyoshi (+1 著者) MARRON J.S Australian & New Zealand Journal of Statistics: Special Issue in Honour of Peter Gavin Hall 60: 4 - 19 (2018) Semantic Scholar
- 22. Support vector machine and its bias correction in high-dimension, low-sample-size settings NAKAYAMA Yugo; YATA Kazuyoshi; AOSHIMA Makoto Journal of Statistical Palnning and Inference 191: 88 - 100 (2017) Semantic Scholar
- 23. Statistical inference for high-dimension, low-sample-size data AOSHIMA Makoto; YATA Kazuyoshi American Mathematical Society, Sugaku Expositions 30: 137 - 158 (2017)
- 24. Reconstruction of a high-dimensional low-rank matrix YATA Kazuyoshi; AOSHIMA Makoto Electronic Journal of Statistics 10: 895 - 917 (2016) Semantic Scholar
- 25. Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context ISHII Aki; YATA Kazuyoshi; AOSHIMA Makoto Journal of Statistical Planning and Inference 170: 186 - 199 (2016) Semantic Scholar
- 26. Non-asymptotic results for Cornish-Fisher expansions ULYANOV Vladimir; AOSHIMA Makoto; FUJIKOSHI Yasunori Journal of Mathematical Sciences 218: 363 - 368 (2016) Semantic Scholar
- 27. High-dimensional inference on covariance structures via the extended cross-data-matrix methodology YATA Kazuyoshi; AOSHIMA Makoto J. Multivariate Analysis 151: 151 - 166 (2016) Semantic Scholar
- 28. Geometric classifier for multiclass, high-dimensional data AOSHIMA Makoto; YATA Kazuyoshi Special Issue: Celebrating Seventy Years of Charles Stein's 1945 Seminal Paper on Two-Stage Sampling, Sequential Analysis 34: 279 - 294 (2015) Semantic Scholar
- 29. Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions AOSHIMA Makoto; YATA Kazuyoshi Methodology and Computing in Applied Probability 17: 419 - 439 (2015) Semantic Scholar
- 30. A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data AOSHIMA Makoto; YATA Kazuyoshi Annals of the Institute of Statistical Mathematics 66: 983 - 1010 (2014) Semantic Scholar
- 31. Asymptotic distribution of the largest eigenvalue via geometric representations of high-dimension, low-sample-size data ISHII Aki; YATA Kazuyoshi; AOSHIMA Makoto Special Issue: Modern Statistical Methodologies in the Cutting Edge of Science, Sri Lankan Journal of Applied Statistics 5: 81 - 94 (2014)
- 32. 日本統計学会研究業績賞受賞者特別寄稿論文：高次元データの統計的方法論 青嶋 誠; 矢田和善 J. Japan Statist. Soc. Ser. J 43: 123 - 150 (2013)
- 33. 論説： 高次元小標本における統計的推測 青嶋 誠; 矢田和善 Sugaku 65: 225 - 247 (2013)
- 34. PCA consistency for the power spiked model in high-dimensional settings YATA Kazuyoshi; AOSHIMA Makoto J. Multivariate Analysis 122: 334 - 354 (2013) Semantic Scholar
- 35. Correlation tests for high-dimensional data using extended cross-data-matrix methodology YATA Kazuyoshi; AOSHIMA Makoto J. Multivariate Analysis 117: 313 - 331 (2013) Semantic Scholar
- 36. Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations YATA Kazuyoshi; AOSHIMA Makoto J. Multivariate Analysis 105: 193 - 215 (2012) Semantic Scholar
- 37. Inference on high-dimensional mean vectors with fewer observations than the dimension YATA Kazuyoshi; AOSHIMA Makoto Methodology and Computing in Applied Probability 14: 459 - 476 (2012) Semantic Scholar
- 38. Editor's Special Invited Paper: Two-stage procedures for high-dimensional data AOSHIMA Makoto; YATA Kazuyoshi Sequential Analysis 30: 356 - 399 (2011) Semantic Scholar
- 39. Authors' Response: Two-stage procedures for high-dimensional data AOSHIMA Makoto; YATA Kazuyoshi Sequential Analysis 30: 432 - 440 (2011) Semantic Scholar
- 40. 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 - 171 (2011) Semantic Scholar
- 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. 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
知財情報はまだありません。
1,754 total views
この研究者の他の情報源
この研究者の情報を共有
