矢田 和善(ヤタ カズヨシ)
- 会議発表等
- 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 - 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 - 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 - 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 - 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 - Estimation of low-rank matrices in high-dimensional settings
Yata Kazuyoshi
A Symposium on Complex Data Analysis 2017/2017-05-26 - 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 - Inference on high-dimensional covariance structures via the extended cross-data-matrix methodology
Yata Kazuyoshi; Aoshima Makoto
Eighth International Workshop on Applied Probability/2016-06-23 - Inference on high-dimensional covariance structures with fewer observations than the dimension
Yata Kazuyoshi; Aoshima Makoto
Waseda International Symposium “High Dimensional Statistical Analysis for Time Spatial Processes & Quantile Analysis for Time Series”/2016-03-01 - Two-sample tests of high-dimensional means under the strongly spiked eigenvalue model
Yata Kazuyoshi; Aoshima Makoto
Waseda International Symposium "High Dimensional Statistical Analysis for Spatio-Temporal Processes & Quantile Analysis for Time Series"/2015-11-10 - PCA consistency for high-dimensional multiclass mixture models and its applications
Yata Kazuyoshi; Aoshima Makoto
ISNPS Meeting “Biosciences, Medicine, and novel Non-Parametric Methods”/2015-07-13 - Effective PCA for large p, small n scenario under generalized models
Yata Kazuyoshi
Sixth International Workshop on Applied Probability/2012-6-14 - PCA Consistency for Power Spiked Model in High-Dimensional Settings
矢田 和善; 青嶋 誠
日本統計学会春季集会/2013-03-03 - Power spiked モデルをもつ高次元データの固有値推定について
矢田 和善; 青嶋 誠
日本数学会年度会/2013-03-21 - PCA consistency for high-dimensional data under generalized models
矢田 和善; 青嶋 誠
日本数学会秋季総合分科会/2012-09-20
- A high-dimensional quadratic classifier under the strongly spiked eigenvalue model