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
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...
International audienceIn this paper we solve two open problems posed by Joe (1997) concerning the su...
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...
AbstractThe supermodular and the symmetric supermodular stochastic orders have been cursorily studie...
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...
In this paper we extend some recent results on the comparison of multivariate risk vectors w.r.t. su...
AbstractIn this paper, we show that a vector of positively/negatively associated random variables is...
The supermodular order is a well-known tool to compare the intrinsic degree of dependence between ra...
Unlike the usual stochastic order, total positivity order is closed under conditioning. Here we prov...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
We study the relationship between the multivariate dispersive orders based on the standard construct...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...
International audienceIn this paper we solve two open problems posed by Joe (1997) concerning the su...
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...
AbstractThe supermodular and the symmetric supermodular stochastic orders have been cursorily studie...
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...
In this paper we extend some recent results on the comparison of multivariate risk vectors w.r.t. su...
AbstractIn this paper, we show that a vector of positively/negatively associated random variables is...
The supermodular order is a well-known tool to compare the intrinsic degree of dependence between ra...
Unlike the usual stochastic order, total positivity order is closed under conditioning. Here we prov...
AbstractUnlike the usual stochastic order, total positivity order is closed under conditioning. Here...
We study the relationship between the multivariate dispersive orders based on the standard construct...
AbstractEvery univariate random variable is smaller, with respect to the ordinary stochastic order a...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...