English

Measures of association for approximating copulas

Statistics Theory 2026-05-25 v2 Statistics Theory

Abstract

This paper studies closed-form expressions for multiple association measures of copulas commonly used for approximation purposes, including Bernstein, shuffle--of--min, checkerboard and check--min copulas. In particular, closed-form expressions are provided for the recently popularized Chatterjee's ξ\xi, which quantifies the dependence between two random variables. Given an absolutely continuous bivariate copula CC with TP2_2 density and approximating n×nn\times n-checkerboard copula CnC_n, we show that ξ(Cn)ξ(C)\xi(C_n) \le \xi(C) with ξ(Cn)ξ(C)\xi(C_n) \to \xi(C) as nn\to\infty.

Cite

@article{arxiv.2505.08045,
  title  = {Measures of association for approximating copulas},
  author = {Marcus Rockel},
  journal= {arXiv preprint arXiv:2505.08045},
  year   = {2026}
}

Comments

28 pages

R2 v1 2026-06-28T23:30:32.564Z