AbstractIn this paper we solve two open problems posed by Joe (1997) concerning the supermodular order. First we give an example which shows that the supermodular order is strictly stronger than the concordance order for dimension d=3. Second we show that the supermodular order fulfils all desirable properties of a multivariate positive dependence order. We especially prove the non-trivial fact that it is closed with respect to weak convergence. This is applied to give a complete characterization of the supermodular order for multivariate normal distributions
Consider random vectors formed by a finite number of independent groups of i.i.d. random variables, ...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
We provide some counterexamples showing that some concepts of positive dependence are strictly stron...
In this paper we solve two open problems posed by Joe (1997) concerning the supermodular order. Firs...
AbstractIn this paper we solve two open problems posed by Joe (1997) concerning the supermodular ord...
International audienceIn this paper we solve two open problems posed by Joe (1997) concerning the su...
AbstractThe supermodular and the symmetric supermodular stochastic orders have been cursorily studie...
The supermodular order is a well-known tool to compare the intrinsic degree of dependence between ra...
In many economic applications involving comparisons of multivariate distributions, supermodularity o...
This paper uses the stochastic dominance approach to study orderings of inter-dependence for n-dimen...
The supermodular order on multivariate distributions has many applications in financial and actuaria...
AbstractIn this paper, we show that a vector of positively/negatively associated random variables is...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
In this paper we extend some recent results on the comparison of multivariate risk vectors w.r.t. su...
AbstractIn some situations, it is difficult and tedious to check notions of dependence properties an...
Consider random vectors formed by a finite number of independent groups of i.i.d. random variables, ...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
We provide some counterexamples showing that some concepts of positive dependence are strictly stron...
In this paper we solve two open problems posed by Joe (1997) concerning the supermodular order. Firs...
AbstractIn this paper we solve two open problems posed by Joe (1997) concerning the supermodular ord...
International audienceIn this paper we solve two open problems posed by Joe (1997) concerning the su...
AbstractThe supermodular and the symmetric supermodular stochastic orders have been cursorily studie...
The supermodular order is a well-known tool to compare the intrinsic degree of dependence between ra...
In many economic applications involving comparisons of multivariate distributions, supermodularity o...
This paper uses the stochastic dominance approach to study orderings of inter-dependence for n-dimen...
The supermodular order on multivariate distributions has many applications in financial and actuaria...
AbstractIn this paper, we show that a vector of positively/negatively associated random variables is...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
In this paper we extend some recent results on the comparison of multivariate risk vectors w.r.t. su...
AbstractIn some situations, it is difficult and tedious to check notions of dependence properties an...
Consider random vectors formed by a finite number of independent groups of i.i.d. random variables, ...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
We provide some counterexamples showing that some concepts of positive dependence are strictly stron...