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1.
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Papers
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A Behrens-Fisher problem for general factor models in high dimensions
(Collaboration)
2023/05
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2.
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Papers
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Normalizing transformation of Dempster type statistic in high-dimensional settings
(Collaboration)
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3.
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Papers
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Test for equality of standardized generalized variance with different dimensions under high-dimensional settings
(Collaboration)
2022
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4.
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Papers
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Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings
(Collaboration)
2021/05
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5.
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Papers
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Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings
(Collaboration)
2020/09
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6.
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Papers
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Testing for independence of high-dimensional variables:ρV-coefficient based approach
(Collaboration)
2020/07
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7.
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Papers
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On error bounds for high-dimensional asymptotic distribution of L2-type test statistic for equality of means
(Collaboration)
2020
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8.
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Papers
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Test for equality of generalized variance in high-dimensional and large sample settings
(Collaboration)
2019/12
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9.
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Papers
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An estimator of misclassification probability for multi-class Euclidean distance classifier in high-dimensional data
(Collaboration)
2019/08
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10.
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Papers
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Simultaneous testing of the mean vector and covariance matrix among k populations for high-dimensional data
(Collaboration)
2019
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11.
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Papers
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Estimation of misclassification probability for a distance-based classifier in high-dimensional data
(Collaboration)
2019
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12.
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Papers
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Asymptotic power comparison of T2-type test and likelihood ratio test for a mean vector based on two-step monotone missing data
(Collaboration)
2019
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13.
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Papers
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An approximate multivariate asymptotic expansion-based test for population bioequivalence
(Collaboration)
2019/05
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14.
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Papers
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On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings
(Collaboration)
2018/11
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15.
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Papers
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Evaluation of multinomial logistic regression models for predicting causative pathogens of food poisoning cases
(Collaboration)
2018/06
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16.
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Papers
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A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data
(Collaboration)
2018/09
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17.
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Papers
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Tests for the parallelism and flatness hypotheses of multi-group profile analysis for high-dimensional elliptical populations
(Single)
2017/11
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18.
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Papers
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Testing block-diagonal covariance structure for high-dimensional data under non-normality
(Collaboration)
2017/03
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19.
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Papers
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Bartlett correction to the likelihood ratio test for MCAR with two-step monotone sample
(Collaboration)
2017/08
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20.
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Papers
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A one-sample location test based on weighted averaging of two test statistics when the dimension and the sample size are large
(Collaboration)
2017/04
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21.
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Papers
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Estimation of the covariance matrix with two-step monotone missing data
(Collaboration)
2016/04
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22.
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Papers
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Approximate interval estimation for EPMC for improved linear discriminant rule under high dimensional framework
(Collaboration)
2016/03
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23.
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Papers
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Testing block-diagonal covariance structure for high-dimensional data
(Collaboration)
2015/10
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24.
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Papers
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Recent developments of multivariate multiple comparisons among mean vectors
(Collaboration)
2015/03
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25.
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Papers
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Asymptotic properties of the misclassification rates for Euclidean distance discriminant rule in high-dimensional data
(Collaboration)
2015/09
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26.
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Papers
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Multiple comparisons among mean vectors when the dimension is larger than the total sample size
(Collaboration)
2014/05
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27.
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Papers
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Modified jarque-bera type tests for multivariate normality in a high-dimensional framework
(Collaboration)
2014/03
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28.
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Papers
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A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data
(Collaboration)
2014/01
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29.
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Papers
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Testing linear hypotheses of mean vectors for high-dimension data with unequal covariance matrices
(Collaboration)
2013/11
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30.
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Papers
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Multiple comparison procedures for high-dimensional data and their robustness under non-normality
(Collaboration)
2013/12
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31.
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Papers
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Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension
(Collaboration)
2013/03
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32.
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Papers
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Asymptotic approximation of EPMC for linear discriminant rules using Moore-Penrose inverse matrix in high dimension
(Collaboration)
2013/09
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33.
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Papers
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Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data
(Collaboration)
2012/06
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34.
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Papers
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A modified linear discriminant analysis for high-dimensional data
(Collaboration)
2012/07
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35.
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Papers
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A model selection criterion for discriminant analysis of several groups when the dimension is larger than the total sample size
(Collaboration)
2012/06
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36.
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Papers
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A model selection criterion for discriminant analysis of high-dimensional data with fewer observations
(Collaboration)
2012/12
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37.
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Papers
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An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples
(Collaboration)
2011/02
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38.
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Papers
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Asymptotic properties of EPMC for modified linear discriminant analysis when sample size and dimension are both large
(Collaboration)
2010/09
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39.
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Papers
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Asymptotic distribution of studentized contribution ratio in high-dimensional principal component analysis
(Collaboration)
2009/02
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40.
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Papers
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Asymptotic approximation of EPMC for linear discriminant analysis using ridge type estimator in high-dimensional data with fewer observations
(Single)
2009/12
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