Asymptotic Distribution-Free Independence Test for High-Dimension Data

Cites Work

Title not available (Why is that?)
Measuring and testing dependence by correlation of distances
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
A new coefficient of correlation
On some exact distribution-free tests of independence between two random vectors of arbitrary dimensions
The distance correlation \(t\)-test of independence in high dimension
Berry-Esseen theorems under weak dependence
Distance-based and RKHS-based dependence metrics in high dimension
A distribution-free test of independence based on mean variance index
Asymptotic distributions of high-dimensional distance correlation inference
Global and local two-sample tests via regression
Classification accuracy as a proxy for two-sample testing
Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
Asymptotic Statistics
High-Dimensional Statistics
Testing Mutual Independence in High Dimension via Distance Covariance
Statistical Foundations of Data Science
Combining p-values via averaging
Composite Coefficient of Determination and Its Application in Ultrahigh Dimensional Variable Screening
Causal Inference for Statistics, Social, and Biomedical Sciences
Projection correlation between two random vectors
Algorithmic Learning Theory
A consistent multivariate test of association based on ranks of distances
Nonparametric independence testing via mutual information
Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs
Multivariate Rank-Based Distribution-Free Nonparametric Testing Using Measure Transportation
Causal discoveries for high dimensional mixed data