Kazuyoshi Yata

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All published works
Action Title Year Authors
+ Correction: Test for high-dimensional outliers with principal component analysis 2025 Yugo Nakayama
Kazuyoshi Yata
Makoto Aoshima
+ Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data 2024 Hiroki Hasegawa
Kazuyoshi Yata
Yukihiko Okada
Jun Kunimatsu
+ Test for high-dimensional outliers with principal component analysis 2024 Yugo Nakayama
Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 253 2024 T. T. Takeuchi
Kazuyoshi Yata
Kento Egashira
Makoto Aoshima
Aki Ishii
Suchetha Cooray
Kouichiro Nakanishi
Kotaro Kohno
Kai T. Kono
+ Asymptotic properties of hierarchical clustering in high-dimensional settings 2023 Kento Egashira
Kazuyoshi Yata
Makoto Aoshima
+ Automatic Sparse PCA for High-Dimensional Data 2023 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Correction to: Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data 2022 Kento Egashira
Kazuyoshi Yata
Makoto Aoshima
+ High Dimensional Statistical Analysis and its Application to ALMA Map of NGC 253 2022 T. T. Takeuchi
Kazuyoshi Yata
Makoto Aoshima
Aki Ishii
Kai T. Kono
Kouichiro Nakanishi
Kento Egashira
Suchetha Cooray
Kotaro Kohno
+ Automatic sparse PCA for high-dimensional data 2022 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Correction to: Asymptotic Normality for Inference on Multisample, High-Dimensional Mean Vectors Under Mild Conditions 2021 Makoto Aoshima
Kazuyoshi Yata
+ Consistency of the objective general index in high-dimensional settings 2021 Takuma Bando
Tomonari Sei
Kazuyoshi Yata
+ PDF Chat Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data 2021 Kento Egashira
Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Correction to: Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model 2021 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Hypothesis tests for high-dimensional covariance structures 2020 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ High-dimensional covariance matrix estimation under the SSE model (New Developments in Statistical Model) 2020 Keisuke Konishi
Kazuyoshi Yata
Makoto Aoshima
+ Tests for high-dimensional covariance structures under the non-strongly spiked eigenvalue model (New Developments in Statistical Model) 2020 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ High-dimensional Two-sample Test Procedures under the Strongly Spiked Eigenvalue Model 2020 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Geometric consistency of principal component scores for high‐dimensional mixture models and its application 2019 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model 2019 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model 2018 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise 2018 Kazuyoshi Yata
Makoto Aoshima
Yugo Nakayama
+ High-Dimensional Quadratic Classifiers in Non-sparse Settings 2018 Makoto Aoshima
Kazuyoshi Yata
+ PDF Chat Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models 2018 Makoto Aoshima
Kazuyoshi Yata
+ PDF Chat A survey of high dimension low sample size asymptotics 2018 Makoto Aoshima
Dan Shen
Haipeng Shen
Kazuyoshi Yata
Yi‐Hui Zhou
J. S. Marron
+ PDF Chat A survey of high dimension low sample size asymptotics 2018 Makoto Aoshima
Dan Shen
Haipeng Shen
Kazuyoshi Yata
Yi-Hui Zhou
J. S. Marron
+ PDF Chat Statistical inference for high-dimension, low-sample-size data 2017 Makoto Aoshima
Kazuyoshi Yata
+ PDF Chat Support vector machine and its bias correction in high-dimension, low-sample-size settings 2017 Yugo Nakayama
Kazuyoshi Yata
Makoto Aoshima
+ Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models 2017 Makoto Aoshima
Kazuyoshi Yata
+ Support vector machine and its bias correction in high-dimension, low-sample-size settings 2017 Yugo Nakayama
Kazuyoshi Yata
Makoto Aoshima
+ High-dimensional inference on covariance structures via the extended cross-data-matrix methodology 2016 Kazuyoshi Yata
Makoto Aoshima
+ Two-sample tests for high-dimension, strongly spiked eigenvalue models 2016 Makoto Aoshima
Kazuyoshi Yata
+ PDF Chat Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context 2015 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ Geometric Classifier for Multiclass, High-Dimensional Data 2015 Makoto Aoshima
Kazuyoshi Yata
+ High-dimensional inference on covariance structures via the extended cross-data-matrix methodology 2015 Kazuyoshi Yata
Makoto Aoshima
+ Principal component analysis based clustering for high-dimension, low-sample-size data 2015 Kazuyoshi Yata
Makoto Aoshima
+ Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context 2015 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ High-dimensional quadratic classifiers in non-sparse settings 2015 Makoto Aoshima
Kazuyoshi Yata
+ PDF Chat Asymptotic Distribution of the Largest Eigenvalue via Geometric Representations of High-Dimension, Low-Sample-Size Data 2014 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ Largest Eigenvalue Estimation for High-Dimension, Low-Sample-Size Data and its Application (Asymptotic Statistics and Its Related Topics) 2014 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
+ A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data 2013 Makoto Aoshima
Kazuyoshi Yata
+ Asymptotic Normality for Inference on Multisample, High-Dimensional Mean Vectors Under Mild Conditions 2013 Makoto Aoshima
Kazuyoshi Yata
+ PCA consistency for the power spiked model in high-dimensional settings 2013 Kazuyoshi Yata
Makoto Aoshima
+ Correlation tests for high-dimensional data using extended cross-data-matrix methodology 2013 Kazuyoshi Yata
Makoto Aoshima
+ Two-Stage Procedures for High-Dimensional Data 2011 Makoto Aoshima
Kazuyoshi Yata
+ PDF Chat Authors' Response 2011 Makoto Aoshima
Kazuyoshi Yata
+ Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations 2011 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Inference on High-Dimensional Mean Vectors with Fewer Observations Than the Dimension 2011 Kazuyoshi Yata
Makoto Aoshima
+ Effective Two-Stage Estimation for a Linear Function of High-Dimensional Gaussian Means 2010 Kazuyoshi Yata
+ Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix 2010 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data with<i>D</i>-Asymptotics 2010 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context 2009 Kazuyoshi Yata
Makoto Aoshima
+ PDF Chat Asymptotic second-order consistency for two-stage estimation methodologies and its applications 2008 Makoto Aoshima
Kazuyoshi Yata
+ Two-Stage Equivalence Tests That Control Both Size and Power 2008 Kazuyoshi Yata
+ PDF Chat Double shrink methodologies to determine the sample size via covariance structures 2008 Kazuyoshi Yata
Makoto Aoshima
+ Asymptotic Second-Order Consistency For Fixed-Size Estimation and Its Applications(Statistical Decision for Multiple Comparison and Its Related Topics) 2007 Kazuyoshi Yata
Makoto Aoshima
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix 2010 Kazuyoshi Yata
Makoto Aoshima
27
+ Two-Stage Procedures for High-Dimensional Data 2011 Makoto Aoshima
Kazuyoshi Yata
27
+ Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations 2011 Kazuyoshi Yata
Makoto Aoshima
26
+ PDF Chat Geometric Representation of High Dimension, Low Sample Size Data 2005 Peter A. Hall
J. S. Marron
Amnon Neeman
24
+ PDF Chat A two-sample test for high-dimensional data with applications to gene-set testing 2010 Song Xi Chen
Yingli Qin
20
+ PDF Chat PCA consistency in high dimension, low sample size context 2009 Sungkyu Jung
J. S. Marron
19
+ The high-dimension, low-sample-size geometric representation holds under mild conditions 2007 Jae Youn Ahn
J. S. Marron
Klaus Müller
Yueh‐Yun Chi
17
+ PDF Chat PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context 2009 Kazuyoshi Yata
Makoto Aoshima
16
+ PDF Chat On the distribution of the largest eigenvalue in principal components analysis 2001 Iain M. Johnstone
15
+ PCA consistency for the power spiked model in high-dimensional settings 2013 Kazuyoshi Yata
Makoto Aoshima
14
+ Asymptotic Normality for Inference on Multisample, High-Dimensional Mean Vectors Under Mild Conditions 2013 Makoto Aoshima
Kazuyoshi Yata
14
+ A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data 2013 Makoto Aoshima
Kazuyoshi Yata
13
+ Eigenvalues of large sample covariance matrices of spiked population models 2005 Jinho Baik
Jack W. Silverstein
13
+ ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL 2007 Debashis Paul
12
+ Correlation tests for high-dimensional data using extended cross-data-matrix methodology 2013 Kazuyoshi Yata
Makoto Aoshima
12
+ PDF Chat Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data with<i>D</i>-Asymptotics 2010 Kazuyoshi Yata
Makoto Aoshima
11
+ PDF Chat Two-sample tests for high-dimension, strongly spiked eigenvalue models 2017 Xia Yin
Tianxi Cai
Tommaso Cai
11
+ PDF Chat Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context 2015 Aki Ishii
Kazuyoshi Yata
Makoto Aoshima
10
+ PDF Chat Distance-Weighted Discrimination 2007 J. S. Marron
Michael J. Todd
Jeongyoun Ahn
10
+ Scale adjustments for classifiers in high-dimensional, low sample size settings 2009 Y.-B. Chan
Peter Hall
8
+ PDF Chat Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes 2008 Peter Hall
Yvonne Pittelkow
Malay Ghosh
8
+ PDF Chat Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices 2005 Jinho Baik
Gérard Ben Arous
Sandrine Péché
8
+ Geometric Classifier for Multiclass, High-Dimensional Data 2015 Makoto Aoshima
Kazuyoshi Yata
7
+ PDF Chat Some Tests Concerning the Covariance Matrix in High Dimensional Data 2005 Muni S. Srivastava
6
+ PDF Chat Authors' Response 2011 Makoto Aoshima
Kazuyoshi Yata
6
+ On a Two-Stage Procedure Having Second-Order Properties with Applications 1999 Nitis Mukhopadhyay
William Duggan
6
+ PDF Chat Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models 2018 Makoto Aoshima
Kazuyoshi Yata
6
+ PDF Chat Multivariate Theory for Analyzing High Dimensional Data 2007 Muni S. Srivastava
6
+ STATISTICAL INFERENCE IN TWO–STAGE SAMPLING 2010 Makoto Aoshima
5
+ PDF Chat Statistical inference in two-stage sampling 2005 Makoto Aoshima
5
+ Covariance regularization by thresholding 2008 Peter J. Bickel
Elizaveta Levina
5
+ Multiple Testing Procedures: the multtest Package and Applications to Genomics 2005 Katherine S. Pollard
Sandrine Dudoit
Mark J. van der Laan
5
+ PDF Chat Multiple Testing and Error Control in Gaussian Graphical Model Selection 2007 Mathias Drton
Michael D. Perlman
5
+ PDF Chat The statistics and mathematics of high dimension low sample size asymptotics 2016 Dan Shen
Haipeng Shen
Hongtu Zhu
J. S. Marron
5
+ PDF Chat Asymptotic second-order consistency for two-stage estimation methodologies and its applications 2008 Makoto Aoshima
Kazuyoshi Yata
5
+ PDF Chat Weighted Distance Weighted Discrimination and Its Asymptotic Properties 2010 Xingye Qiao
Hao Helen Zhang
Yufeng Liu
Michael J. Todd
J. S. Marron
5
+ PDF Chat High-dimensional classification using features annealed independence rules 2008 Jianqing Fan
Yingying Fan
4
+ PDF Chat A Direct Estimation Approach to Sparse Linear Discriminant Analysis 2011 Tommaso Cai
Weidong Liu
4
+ Sparse Quadratic Discriminant Analysis For High Dimensional Data 2014 Quefeng Li
Jun Shao
4
+ PDF Chat Sparse linear discriminant analysis by thresholding for high dimensional data 2011 Jun Shao
Yazhen Wang
Xinwei Deng
Sijian Wang
4
+ PDF Chat Basic Properties of Strong Mixing Conditions. A Survey and Some Open Questions 2005 Richard C. Bradley
4
+ PDF Chat Support vector machine and its bias correction in high-dimension, low-sample-size settings 2017 Yugo Nakayama
Kazuyoshi Yata
Makoto Aoshima
4
+ PDF Chat Large-Scale Correlation Screening 2011 Alfred O. Hero
Bala Rajaratnam
4
+ The maximal data piling direction for discrimination 2010 Jae Youn Ahn
J. S. Marron
4
+ Effective Two-Stage Estimation for a Linear Function of High-Dimensional Gaussian Means 2010 Kazuyoshi Yata
4
+ High-Dimensional Quadratic Classifiers in Non-sparse Settings 2018 Makoto Aoshima
Kazuyoshi Yata
4
+ Boundary behavior in High Dimension, Low Sample Size asymptotics of PCA 2012 Sungkyu Jung
Arusharka Sen
J. S. Marron
4
+ A two-stage procedure for estimating a linear function of K multinormal mean vectors when covariance matrices are unknown 2002 Makoto Aoshima
Yoshikazu Takada
Muni S. Srivastava
3
+ PDF Chat Convergence and prediction of principal component scores in high-dimensional settings 2010 Seunggeun Lee
Fei Zou
Fred A. Wright
3
+ PDF Chat Inference on High-Dimensional Mean Vectors with Fewer Observations Than the Dimension 2011 Kazuyoshi Yata
Makoto Aoshima
3