Kazuyoshi Yata

发表

Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2012, J. Multivar. Anal..

Correlation tests for high-dimensional data using extended cross-data-matrix methodology

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2013, J. Multivar. Anal..

Support vector machine and its bias correction in high-dimension, low-sample-size settings pdf

Makoto Aoshima, Kazuyoshi Yata, Yugo Nakayama, 2017, ArXiv.

Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2010, J. Multivar. Anal..

High-dimensional inference on covariance structures via the extended cross-data-matrix methodology

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2015, J. Multivar. Anal..

PCA consistency for the power spiked model in high-dimensional settings

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2013, J. Multivar. Anal..

Effective Methodologies for Statistical Inference on Microarray Studies

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2011 .

Correction to: Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model

Makoto Aoshima, Kazuyoshi Yata, Aki Ishii, 2021, Japanese Journal of Statistics and Data Science.

Geometric classifiers for high-dimensional noisy data

Makoto Aoshima, Kazuyoshi Yata, Aki Ishii, 2021, J. Multivar. Anal..

Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data

Makoto Aoshima, Kazuyoshi Yata, Kento Egashira, 2021, Japanese Journal of Statistics and Data Science.

Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings

Makoto Aoshima, Kazuyoshi Yata, Yugo Nakayama, 2021, J. Multivar. Anal..

Effective Two-Stage Estimation for a Linear Function of High-Dimensional Gaussian Means

Kazuyoshi Yata, K. Yata, 2010 .

A survey of high dimension low sample size asymptotics

Haipeng Shen, Yi-Hui Zhou, Makoto Aoshima, 2018, Australian & New Zealand journal of statistics.

Inference on High-Dimensional Mean Vectors with Fewer Observations Than the Dimension

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2011, Methodology and Computing in Applied Probability.

Two-Stage Procedures for High-Dimensional Data

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2011 .

Two-Stage Equivalence Tests That Control Both Size and Power

Kazuyoshi Yata, 2008 .

A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2014 .

PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2009 .

Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data with D-Asymptotics

Makoto Aoshima, Kazuyoshi Yata, M. Aoshima, 2010 .