This paper investigates properties of extensions of tail dependence of Archimax copulas to high dimensional analysis in a spatialized framework. Specifically, we propose a characterization of bivariate margins of spatial Archimax processes while spatial multivariate upper and lower tail dependence coefficients are modeled, respectively, for Archimedean copulas and Archimax ones. A property of stability is given using convex transformations of survival copulas in a spatialized Archimedean family
This paper introduces a new family of multivariate copula functions defined by two generators, which...
This paper studies the general multivariate dependence and tail dependence of a random vector. We an...
Tail dependence copulas provide a natural perspective from which one can study the dependence in the...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
We analyze the multivariate upper and lower tail dependence coefficients,obtained extending the exis...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
International audienceThis paper presents the impact of a class of transformations of copulas in the...
International audienceThis paper presents the impact of a class of transformations of copulas in the...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
This M.Sc. thesis contributes to the use of Archimax copulas to model bivariate extremes. After a re...
AbstractA complete and user-friendly directory of tails of Archimedean copulas is presented which ca...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
This paper introduces a new family of multivariate copula functions defined by two generators, which...
This paper studies the general multivariate dependence and tail dependence of a random vector. We an...
Tail dependence copulas provide a natural perspective from which one can study the dependence in the...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
We analyze the multivariate upper and lower tail dependence coefficients,obtained extending the exis...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
International audienceThis paper presents the impact of a class of transformations of copulas in the...
International audienceThis paper presents the impact of a class of transformations of copulas in the...
A complete and user-friendly directory of tails of Archimedean copulas is presented which can be use...
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariat...
This M.Sc. thesis contributes to the use of Archimax copulas to model bivariate extremes. After a re...
AbstractA complete and user-friendly directory of tails of Archimedean copulas is presented which ca...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
This paper introduces a new family of multivariate copula functions defined by two generators, which...
This paper studies the general multivariate dependence and tail dependence of a random vector. We an...
Tail dependence copulas provide a natural perspective from which one can study the dependence in the...