AOSHIMA Makoto
- Conference, etc.
- 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 - 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 - New Techniques in High-Dimensional Statistical Analysis: SSE vs. NSSE and Data Transformation
Aoshima Makoto
2018 Workshop on High-Dimensional Statistical Analysis/2018-12-10 - High-Dimensional Statistical Analysis: Non-Sparse Modeling, Geometric Representations and New PCAs
Aoshima Makoto
2018Workshop on High-Dimensional Statistical Analysis/2018-12-10 - A high-dimensional quadratic classifier after feature selection
Yata Kazuyoshi; Aoshima Makoto
International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26 - Tests of high-dimensional mean vectors under the SSE model
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
International Symposium on Statistical Theory and Methodology for Large Complex Data/2018-11-26 - Equality tests of high-dimensional covariance matrices on the basis of strongly spiked eigenvalues
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”/2018-10-24 - New techniques in high-dimensional statistical analysis
Aoshima Makoto
Waseda International Symposium “Introduction of General Causality to Various Data & Its Innovation of The Optimal Inference”/2018-10-23 - High-dimensional statistical analysis: Spiked models and data transformation
Aoshima Makoto
The 2nd International Conference on Econometrics and Statistics/2018-06-21 - High-dimensional statistical analysis under spiked models
Aoshima Makoto
The Fourth Conference of the International Society for Nonparametric Statistics/2018-06-13 - A high-dimensional quadratic classifier under the strongly spiked eigenvalue model
Yata Kazuyoshi; Ishii Aki; Aoshima Makoto
The 14th Workshop on Stochastic Models, Statistics and their Application/2019-03-06--2019-03-06 - Equality tests for high-dimensional covariance matrices
Ishii Aki; Yata Kazuyoshi; Aoshima Makoto
The 27th South Taiwan Statistics Conference/2018-06-30--2018-06-30 - Consistency properties of regularized noise reduction methodology in high-dimensional settings
Yata Kazuyoshi; Aoshima Makoto
The 4th International Society of NonParametric Statistics Conference/2018-06-13--2018-06-13 - Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
Yata Kazuyoshi; Aoshima Makoto; Ishii Aki
The 9th International Workshop on Applied Probability/2018-06-18--2018-06-18 - Regularized PCA for high-dimensional data based on the noise reduction methodology
Yata Kazuyoshi; Aoshima Makoto
Fifth Institute of Mathematical Statistics Asia Pacific Rim Meeting/2018-06-26--2018-06-26 - Regularized noise-reduction methodology for high-dimensional data
Yata Kazuyoshi; Aoshima Makoto
10th Conference of the IASC-ARS/68th Annual NZSA Conference/2017-12-13 - High-dimensional correlation tests with sample size determination
Yata Kazuyoshi; Aoshima Makoto
Sixth International Workshop in Sequential Methodologies/2017-06-22 - High-Dimensional Statistical Analysis by Non-Sparse Modeling
Aoshima Makoto
Waseda International Symposium “Recent Developments in Time Series Analysis: Quantile Regression, High Dimensional Data & Causality/2018-02-27 - 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/2017-09-05 - Effective classifiers for high-dimensional non-sparse data
Yata Kazuyoshi; Aoshima Makoto
International conference on information complexity and statistical modeling in high dimensions with applications/2016-05-20 - more...
- 距離加重判別分析の高次元漸近的性質