Available identifiers
zbMath Open yata.kazuyoshiMaRDI QIDQ276224
List of research outcomes
| Publication | Date of Publication | Type |
|---|
| Asymptotic properties of hierarchical clustering in high-dimensional settings | 2024-01-04 | Paper |
| Consistency of the objective general index in high-dimensional settings | 2022-03-01 | Paper |
| Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data | 2022-01-20 | Paper |
| Geometric classifiers for high-dimensional noisy data | 2022-01-03 | Paper |
| Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings | 2021-08-05 | Paper |
| Hypothesis tests for high-dimensional covariance structures | 2021-07-20 | Paper |
| Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings | 2021-05-03 | Paper |
| Geometric consistency of principal component scores for high‐dimensional mixture models and its application | 2020-11-30 | Paper |
| A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model | 2020-05-13 | Paper |
| PCA consistency for the power spiked model in high-dimensional settings | 2020-01-13 | Paper |
| Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model | 2019-10-18 | Paper |
| Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model | 2019-08-09 | Paper |
| Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models | 2019-06-28 | Paper |
| A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise | 2019-04-29 | Paper |
| Statistical inference for high-dimension, low-sample-size data | 2018-06-18 | Paper |
| A survey of high dimension low sample size asymptotics | 2018-05-11 | Paper |
| Two-sample tests for high-dimension, strongly spiked eigenvalue models | 2018-01-26 | Paper |
| Support vector machine and its bias correction in high-dimension, low-sample-size settings | 2017-10-20 | Paper |
| High-dimensional inference on covariance structures via the extended cross-data-matrix methodology | 2016-09-13 | Paper |
| Reconstruction of a high-dimensional low-rank matrix | 2016-05-03 | Paper |
| Asymptotic second-order consistency for two-stage estimation methodologies and its applications | 2016-01-15 | Paper |
| Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context | 2015-12-28 | Paper |
| Geometric Classifier for Multiclass, High-Dimensional Data | 2015-10-20 | Paper |
| Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions | 2015-07-31 | Paper |
| Effective methodologies for high-dimensional data | 2014-11-18 | Paper |
| A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data | 2014-09-10 | Paper |
| PCA consistency for the power spiked model in high-dimensional settings | 2014-01-13 | Paper |
| Correlation tests for high-dimensional data using extended cross-data-matrix methodology | 2014-01-10 | Paper |
| Inference on high-dimensional mean vectors with fewer observations than the dimension | 2013-01-11 | Paper |
| Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations | 2012-03-13 | Paper |
| Two-Stage Procedures for High-Dimensional Data | 2011-12-28 | Paper |
| Authors' Response | 2011-12-28 | Paper |
| Effective Two-Stage Estimation for a Linear Function of High-Dimensional Gaussian Means | 2011-01-13 | Paper |
| Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix | 2010-09-01 | Paper |
| Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data withD-Asymptotics | 2010-08-19 | Paper |
| PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context | 2009-11-16 | Paper |
| Double shrink methodologies to determine the sample size via covariance structures | 2008-12-08 | Paper |
| Two-Stage Equivalence Tests That Control Both Size and Power | 2008-08-07 | Paper |
Research outcomes over time
Doctoral students
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Known relations from the MaRDI Knowledge Graph
This page was built for person: Kazuyoshi Yata
