Equivalence of distance-based and RKHS-based statistics in hypothesis testing
type: Item
instance of: scholarly article
published in: The Annals of Statistics
volume: 41
issue: 5
publication date: 2013-10-01T00:00:00Z
publication date: 2014-03-06T00:00:00Z
author: Dino Sejdinovic
author: Bharath Sriperumbudur
author: Arthur Gretton
author: Kenji Fukumizu
author: Bharath K. Sriperumbudur
title: Equivalence of distance-based and RKHS-based statistics in hypothesis testing
zbMATH Open document ID: 1281.62117
full work available at URL: https://arxiv.org/abs/1207.6076
full work available at URL: https://projecteuclid.org/euclid.aos/1383661264
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 46N30
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68Q32
zbMATH DE Number: 6265860
zbMATH Keywords: reproducing kernel Hilbert spaces
zbMATH Keywords: distance covariance
zbMATH Keywords: two-sample testing
zbMATH Keywords: independence testing
MaRDI profile type: Publication
arXiv ID: 1207.6076
cites work: A test for the two-sample problem based on empirical characteristic functions
cites work: Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
cites work: On the bootstrap of \(U\) and \(V\) statistics
cites work: 10.1162/153244303768966085
cites work: On a new multivariate two-sample test.
cites work: Q3755956
cites work: Q5488485
cites work: Discussion of: Brownian distance covariance
cites work: Consistent nonparametric tests of independence
cites work: Algorithmic Learning Theory
cites work: Q5405143
cites work: Distance covariance in metric spaces
cites work: Integral Probability Metrics and Their Generating Classes of Functions
cites work: Q3909512
cites work: A Hilbert Space Embedding for Distributions
cites work: Universality, Characteristic Kernels and RKHS Embedding of Measures
cites work: Hilbert space embeddings and metrics on probability measures
cites work: On the empirical estimation of integral probability metrics
cites work: Support Vector Machines
cites work: A new test for multivariate normality
cites work: Measuring and testing dependence by correlation of distances
cites work: Brownian distance covariance
DOI: 10.1214/13-AOS1140
description: scientific article