YATA Kazuyoshi

Researcher's full information

Conference, etc.

• 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
• 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
• 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
• 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
• 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
• more...