On the test of covariance between two high-dimensional random vectors

Conditional mean and quantile dependence testing in high dimension

(2018) Xianyang Zhang et al.   ANNALS OF STATISTICS

Test for high-dimensional regression coefficients using refitted cross-validation variance estimation

(2018) Hengjian Cui et al.   ANNALS OF STATISTICS

Testing mutual independence in high dimension via distance covariance

(2017) Shun Yao et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Testing the independence of two random vectors where only one dimension is large

(2016) Weiming Li et al.   STATISTICS

Testing the independence of two random vectors where only one dimension is large

(2016) Weiming Li et al.   STATISTICS

Independence test for high dimensional data based on regularized canonical correlation coefficients

(2015) Yanrong Yang et al.   ANNALS OF STATISTICS

Power Enhancement in High-Dimensional Cross-Sectional Tests

(2015) Jianqing Fan et al.   ECONOMETRICA

Partial distance correlation with methods for dissimilarities

(2014) Gábor J. Székely et al.   ANNALS OF STATISTICS

Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening

(2014) Xiaofeng Shao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The distance correlation t -test of independence in high dimension

(2013) Gábor J. Székely et al.   JOURNAL OF MULTIVARIATE ANALYSIS

A consistent multivariate test of association based on ranks of distances

(2012) R. Heller et al.   BIOMETRIKA

Testing the structure of the covariance matrix with fewer observations than the dimension

(2012) Muni S. Srivastava et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Testing the independence of sets of large-dimensional variables

(2012) DanDan Jiang et al.   Science China-Mathematics

Tests for High-Dimensional Regression Coefficients With Factorial Designs

(2011) Ping-Shou Zhong et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION