Asymptotic normality of Gini correlation in high dimension with applications to the \(K\)-sample problem
From MaRDI portal
Publication:6184886
DOI10.1214/23-ejs2165arXiv2203.00081OpenAlexW4388429479MaRDI QIDQ6184886
Publication date: 5 January 2024
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2203.00081
asymptotic normalitydistance correlationcategorical Gini correlationhigh dimensional \(K\)-sample test
Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Measures of association (correlation, canonical correlation, etc.) (62H20)
Cites Work
- Unnamed Item
- Measuring and testing dependence by correlation of distances
- Distance covariance in metric spaces
- Energy statistics: a class of statistics based on distances
- The distance correlation \(t\)-test of independence in high dimension
- A nonparametric two-sample test applicable to high dimensional data
- Non-parametric \(k\)-sample tests: density functions vs distribution functions
- Brownian distance covariance
- DISCO analysis: A nonparametric extension of analysis of variance
- A test for the two-sample problem based on empirical characteristic functions
- Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
- On a new multivariate two-sample test.
- Testing homogeneity for multiple nonnegative distributions with excess zero observations
- Distance-based and RKHS-based dependence metrics in high dimension
- Interpoint distance based two sample tests in high dimension
- Asymptotic distributions of high-dimensional distance correlation inference
- A rank-based Cramér-von-Mises-type test for two samples
- Hypothesis testing in the presence of multiple samples under density ratio models
- The Kolmogorov-Smirnov, Cramer-von Mises Tests
- Asymptotic normality of interpoint distances for high-dimensional data with applications to the two-sample problem
- A new Gini correlation between quantitative and qualitative variables
- A nonparametric approach to high-dimensional k-sample comparison problems
- K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
- NonparametricK-Sample Tests via Dynamic Slicing
- A consistent multivariate test of association based on ranks of distances
This page was built for publication: Asymptotic normality of Gini correlation in high dimension with applications to the \(K\)-sample problem