YATA Kazuyoshi

Researcher's full information

Conference, etc.

• 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
• 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
• 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
• 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