A measure of association for bivariate frailty distributions
Journal of Multivariate Analysis
Dependence and order in families of Archimedean copulas
Journal of Multivariate Analysis
Archimedean copulae and positive dependence
Journal of Multivariate Analysis
Goodness-of-fit tests for copulas
Journal of Multivariate Analysis
Tails of multivariate Archimedean copulas
Journal of Multivariate Analysis
Copula-based semiparametric models for multivariate time series
Journal of Multivariate Analysis
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In this article, copulas associated to multivariate conditional distributions in an Archimedean model are characterized. It is shown that this popular class of dependence structures is closed under the operation of conditioning, but that the associated conditional copula has a different analytical form in general. It is also demonstrated that the extremal copula for conditional Archimedean distributions is no longer the Frechet upper bound, but rather a member of the Clayton family. Properties of these conditional distributions as well as conditional versions of tail dependence indices are also considered.