A distribution-free test of independence based on a modified mean variance index

Cites Work

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Measuring and testing dependence by correlation of distances
Censored mean variance sure independence screening for ultrahigh dimensional survival data
Brownian distance covariance
Testing for independence by the empirical characteristic function
A quadratic measure of deviation of two-dimensional density estimates and a test of independence
Fused mean-variance filter for feature screening
Adjusted Pearson chi-square feature screening for multi-classification with ultrahigh dimensional data
A distribution-free test of independence based on mean variance index
Feature screening for ultrahigh dimensional categorical data with covariates missing at random
Sparse semiparametric discriminant analysis
A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis
The fused Kolmogorov filter: a nonparametric model-free screening method
Entropy-based model-free feature screening for ultrahigh-dimensional multiclass classification
Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates
Model-Free Feature Screening for Ultrahigh Dimensional Data through a Modified Blum-Kiefer-Rosenblatt Correlation
Kernel-Based Tests for Joint Independence
Projection correlation between scalar and vector variables and its use in feature screening with multi-response data
Sliced Independence Test
Model-free feature screening for ultrahigh dimensional data via a Pearson chi-square based index
Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
NonparametricK-Sample Tests via Dynamic Slicing
Projection correlation between two random vectors
Algorithmic Learning Theory
A consistent multivariate test of association based on ranks of distances
A Non-Parametric Test of Independence

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