We use a recent characterization of the d-dimensional Archimedean copulas as the survival copulas of d-dimensional simplex distributions (McNeil and Neslehová (2009) [1]) to construct new Archimedean copula families, and to examine the relationship between their dependence properties and the radial parts of the corresponding simplex distributions. In particular, a new formula for Kendall's tau is derived and a new dependence ordering for non-negative random variables is introduced which generalises the Laplace transform order. We then generalise the Archimedean copulas to obtain Liouville copulas, which are the survival copulas of Liouville distributions and which are non-exchangeable in general. We derive a formula for Kendall's tau of Lio...
AbstractIn this article, copulas associated to multivariate conditional distributions in an Archimed...
So called pair copula constructions (PCCs), specifying multivariate distributions only in terms of b...
Tail dependence copulas provide a natural perspective from which one can study the dependence in the...
AbstractWe use a recent characterization of the d-dimensional Archimedean copulas as the survival co...
The family of Liouville copulas is defined as the survival copulas of multivariate Liouville distrib...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
Archimedean copulas form a prominent class of copulas which lead to the construction of multivariate...
AbstractIn order to study copula families that have tail patterns and tail asymmetry different from ...
As a motivating problem, we aim to study some special aspects of the marginal distributions of the o...
In this article, copulas associated to multivariate conditional distributions in an Archimedean mode...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
Copulas are distribution functions with standard uniform univariate margins. One particular parametr...
A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a ...
A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a ...
In this paper we study the dependence properties of a family of bivariate distributions (that we cal...
AbstractIn this article, copulas associated to multivariate conditional distributions in an Archimed...
So called pair copula constructions (PCCs), specifying multivariate distributions only in terms of b...
Tail dependence copulas provide a natural perspective from which one can study the dependence in the...
AbstractWe use a recent characterization of the d-dimensional Archimedean copulas as the survival co...
The family of Liouville copulas is defined as the survival copulas of multivariate Liouville distrib...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
Archimedean copulas form a prominent class of copulas which lead to the construction of multivariate...
AbstractIn order to study copula families that have tail patterns and tail asymmetry different from ...
As a motivating problem, we aim to study some special aspects of the marginal distributions of the o...
In this article, copulas associated to multivariate conditional distributions in an Archimedean mode...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
Copulas are distribution functions with standard uniform univariate margins. One particular parametr...
A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a ...
A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a ...
In this paper we study the dependence properties of a family of bivariate distributions (that we cal...
AbstractIn this article, copulas associated to multivariate conditional distributions in an Archimed...
So called pair copula constructions (PCCs), specifying multivariate distributions only in terms of b...
Tail dependence copulas provide a natural perspective from which one can study the dependence in the...