activity
20082024
most citedMeasuring and testing dependence by correlation of distances

2.3k citations · 2.6k across the 6 of their papers we have counts for

collaborators

7 papers

math.PR2024

Three classical probability problems: the Hungarian roulette

Tamás F. Móri, Gábor J. Székely

In this paper three unrelated problems will be discussed. What connects them is the rich methodology of classical probability theory. In the first two problems we have a complete a…

math.ST2020★ 3 cited

The Earth Mover's Correlation

Tamás F. Móri, Gábor J. Székely

Since Pearson's correlation was introduced at the end of the 19th century many dependence measures have appeared in the literature. Recently we have suggested four simple axioms fo…

math.PR2019

Calibrating dependence between random elements

Abram M. Kagan, Gabor J. Székely

Attempts to quantify dependence between random elements X and Y via maximal correlation go back to Gebelein (1941) and Rényi (1959). After summarizing properties (including some ne…

math.ST2018

An extension of the Plancherel measure

Miklós Arató, Villö Csiszár, Balázs Gerencsér +5

Given a distribution in the unite square and having iid sample from it the first question what a statistician might do to test the hypothesis that the sample is iid. For this purpo…

stat.AP2010★ 153 cited

DISCO analysis: A nonparametric extension of analysis of variance

Maria L. Rizzo, Gábor J. Székely

In classical analysis of variance, dispersion is measured by considering squared distances of sample elements from the sample mean. We consider a measure of dispersion for univaria…

stat.AP2010★ 65 cited

Rejoinder: Brownian distance covariance

Gábor J. Székely, Maria L. Rizzo

Rejoinder to "Brownian distance covariance" by Gábor J. Székely and Maria L. Rizzo [arXiv:1010.0297]