青嶋 誠(アオシマ マコト)
- 会議発表等
- 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/2022-09-15 - Estimation of eigenvectors for linear combinations of high-dimensional covariance matrices and its application
Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
The 5th International Conference on Econometrics and Statistics/2022-06-05 - Test for outlier detection by high-dimensional PCA
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
The 5th International Conference on Econometrics and Statistics/2022-06-05 - Asymptotic behaviors of hierarchical clustering under high dimensional settings
Egashira Kento; Yata Kazuyoshi; Aoshima Makoto
The 5th International Conference on Econometrics and Statistics/2022-06-04 - Asymptotic properties of high-dimensional kernel PCA and its applications
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
International Symposium on New Developments of Theories and Methodologies for Large Complex Data/2021-11-06 - 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/2021-09-02 - Sparse PCA for high-dimensional data based on the noise-reduction methodology and its application
Yata Kazuyoshi; Aoshima Makoto
The 63rd ISI World Statistics Congress/2021-07-14 - Tests for covariance structures in high-dimensional data
Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
The 4th International Conference on Econometrics and Statistics/2021-06-26 - Clustering by kernel PCA with Gaussian kernel and tuning for high-dimensional data
Nakayama Yugo; Yata Kazuyoshi; Aoshima Makoto
The 4th International Conference on Econometrics and Statistics/2021-06-26 - High-dimensional classifiers under the strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
The 4th International Conference on Econometrics and Statistics/2021-06-25 - High-dimensional quadratic classifiers under the strongly spiked eigenvalue model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
IISA 2021 Conference/2021-05-21 - 高次元におけるカーネル主成分分析の漸近的性質と異常値の検出への応用
中山 優吾; 矢田 和善; 青嶋 誠
日本数学会年度年会/2021-03-16--2021-03-16 - 距離加重判別分析の高次元漸近的性質
江頭 健斗; 矢田 和善; 青嶋 誠
日本数学会年度年会/2021-03-16--2021-03-16 - Clustering by kernel principal component analysis for high-dimensional data
中山 優吾; 矢田 和善; 青嶋 誠
日本数学会秋季総合分科会/2020-09-24--2020-09-24 - 高次元固有ベクトルの検定について
石井 晶; 矢田 和善; 青嶋 誠
日本数学会秋季総合分科会/2020-09-24--2020-09-24 - 高次元データにおける距離加重判別分析の漸近的性質とバイアス補正
江頭 健斗; 矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-11--2020-09-11 - 高次元スパースPCAの一致性とその応用
矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-10--2020-09-10 - Tests of high-dimensional correlation matrices under the strongly spiked eigenvalue model
石井 晶; 矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-10--2020-09-10 - 高次元小標本における異常値の検出
中山 優吾; 矢田 和善; 青嶋 誠
統計関連学会連合大会/2020-09-10--2020-09-10 - Tests for high-dimensiomal covariance structures under the SSE model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
International Symposium on Theories and Methodologies for Large Complex Data/2019-11-21 - A high-dimensional quadratic classifier by data transformation for strongly spiked eigenvalue models
Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
The 3rd International Conference on Econometrics and Statistics/2019-06-26 - Inference on mean vectors for high-dimensional data with the strongly spiked eigenstructure
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
The 3rd International Conference on Econometrics and Statistics/2019-06-26 - High-Dimensional Statistical Analysis: Non-Sparsity, Strongly Spiked Noise and HDLSS
Aoshima Makoto
The 7th International Workshop in Sequential Methodologies/2019-06-18 - Tests of High-Dimensional Mean Vectors and Its Application Under the SSE Model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”/2019-02-26 - Non-Sparse Modeling for High-Dimensional Data
Aoshima Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & its Applications”/2019-02-25 - さらに表示...
- 高次元現象の統計数理（企画特別講演）