Quantifying and testing dependence to categorical variables

Fuente: arXiv
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Main Authors: Hörmann, Siegfried, Strenger-Galvis, Daniel
Format: Preprint
Published: 2025
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author Hörmann, Siegfried
Strenger-Galvis, Daniel
author_facet Hörmann, Siegfried
Strenger-Galvis, Daniel
contents We suggest a dependence coefficient between a categorical variable and some general variable taking values in a metric space. We derive important theoretical properties and study the large sample behaviour of our suggested estimator. Moreover, we develop an independence test which has an asymptotic $χ^2$-distribution if the variables are independent and prove that this test is consistent against any violation of independence. The test is also applicable to the classical~$K$-sample problem with possibly high- or infinite-dimensional distributions. We discuss some extensions, including a variant of the coefficient for measuring conditional dependence.
format Preprint
id arxiv_https___arxiv_org_abs_2509_10268
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Quantifying and testing dependence to categorical variables
Hörmann, Siegfried
Strenger-Galvis, Daniel
Statistics Theory
62H20 (Primary) 62G05, 62G10 (Secondary)
We suggest a dependence coefficient between a categorical variable and some general variable taking values in a metric space. We derive important theoretical properties and study the large sample behaviour of our suggested estimator. Moreover, we develop an independence test which has an asymptotic $χ^2$-distribution if the variables are independent and prove that this test is consistent against any violation of independence. The test is also applicable to the classical~$K$-sample problem with possibly high- or infinite-dimensional distributions. We discuss some extensions, including a variant of the coefficient for measuring conditional dependence.
title Quantifying and testing dependence to categorical variables
topic Statistics Theory
62H20 (Primary) 62G05, 62G10 (Secondary)
url https://arxiv.org/abs/2509.10268