English

Supports of Implicit Dependence Copulas

Statistics Theory 2016-06-29 v2 Statistics Theory

Abstract

A copula of continuous random variables XX and YY is called an \emph{implicit dependence copula} if there exist functions α\alpha and β\beta such that α(X)=β(Y)\alpha(X) = \beta(Y) almost surely, which is equivalent to CC being factorizable as the *-product of a left invertible copula and a right invertible copula. Every implicit dependence copula is supported on the graph of f(x)=g(y)f(x) = g(y) for some measure-preserving functions ff and gg but the converse is not true in general. We obtain a characterization of copulas with implicit dependence supports in terms of the non-atomicity of two newly defined associated σ\sigma-algebras. As an application, we give a broad sufficient condition under which a self-similar copula has an implicit dependence support. Under certain extra conditions, we explicitly compute the left invertible and right invertible factors of the self-similar copula.

Keywords

Cite

@article{arxiv.1606.07602,
  title  = {Supports of Implicit Dependence Copulas},
  author = {Songkiat Sumetkijakan},
  journal= {arXiv preprint arXiv:1606.07602},
  year   = {2016}
}

Comments

19 pages, 3 figures

R2 v1 2026-06-22T14:33:21.635Z