TY - JOUR
T1 - A Basic Treatment of the Distance Covariance
AU - Edelmann, Dominic
AU - Terzer, Tobias
AU - Richards, Donald
N1 - Funding Information:
D. Edelmann gratefully acknowledges financial support from the Deutsche Forschungsgemeinschaft (Grant number 417754611). The authors are grateful to the editor of the special issue and to a reviewer for comments on the manuscript.
Publisher Copyright:
© 2021, Indian Statistical Institute.
PY - 2021/5
Y1 - 2021/5
N2 - The distance covariance of Székely et al. (Ann. Statist., 35, 2769–2794 2007, 2009), a powerful measure of dependence between sets of multivariate random variables, has the crucial feature that it equals zero if and only if the sets are mutually independent. Hence the distance covariance can be applied to multivariate data to detect arbitrary types of non-linear associations between sets of variables. We provide in this article a basic, albeit rigorous, introductory treatment of the distance covariance. Our investigations yield an approach that can be used as the foundation for presentation of this important and timely topic even in advanced undergraduate- or junior graduate-level courses on mathematical statistics.
AB - The distance covariance of Székely et al. (Ann. Statist., 35, 2769–2794 2007, 2009), a powerful measure of dependence between sets of multivariate random variables, has the crucial feature that it equals zero if and only if the sets are mutually independent. Hence the distance covariance can be applied to multivariate data to detect arbitrary types of non-linear associations between sets of variables. We provide in this article a basic, albeit rigorous, introductory treatment of the distance covariance. Our investigations yield an approach that can be used as the foundation for presentation of this important and timely topic even in advanced undergraduate- or junior graduate-level courses on mathematical statistics.
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U2 - 10.1007/s13571-021-00248-z
DO - 10.1007/s13571-021-00248-z
M3 - Article
AN - SCOPUS:85106180318
SN - 0976-8386
VL - 83
SP - 12
EP - 25
JO - Sankhya B
JF - Sankhya B
ER -