In this article, we define the conditional convex order, that is, a stochastic ordering between random variables given a sub-σ-algebra F. For the conditional convex order, we present a few representative results. In addition, we prove a comparison inequality, which, in a special case orders conditionally the partial sum of F-associated random variables with that of F-independent random variables. This latter result extends one of the main theorems of Boutsikas and Vaggelatou (“On the distance between convex-ordered random variables, with applications. Adv. in Appl. Probab.,34(2002):349–374)
We define new stochastic orders in higher dimensions called weak correlation orders. It is shown tha...
It is known that the sums of the components of two random vectors (X1,X2,…,Xn) and (Y1,Y2,…,Yn) orde...
It is known that the sums of the components of two random vectors (X1,X2,...,Xn) and (Y1,Y2,...,Yn) ...
In this article, we define the conditional convex order, that is, a stochastic ordering between rand...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...
In this paper, the componentwise increasing convex order, the upper orthant order, the upper orthant...
AbstractIn this paper, we establish some results for the increasing convex comparisons of generalize...
The purpose of this note is two-fold. First we derive a simple condition under which two s-convex or...
In this paper, newclasses of stochastic order relations are introduced. These can be seen as extensi...
New classes of order relations for discrete bivariate random vectors are introduced that essentially...
We de1ne a new stochastic order for random vectors in terms of the inclusion relation for the Aumann...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
This paper extends a useful property of the increasing convex order to the multivariate orthant conv...
In the literature of stochastic orders, one rarely finds results characterizing non-comparability of...
summary:We consider partial orderings for stochastic processes induced by expectations of convex or ...
We define new stochastic orders in higher dimensions called weak correlation orders. It is shown tha...
It is known that the sums of the components of two random vectors (X1,X2,…,Xn) and (Y1,Y2,…,Yn) orde...
It is known that the sums of the components of two random vectors (X1,X2,...,Xn) and (Y1,Y2,...,Yn) ...
In this article, we define the conditional convex order, that is, a stochastic ordering between rand...
Key words and phrases: multivariate random sums, multivariate stochastic orders, convex order, direc...
In this paper, the componentwise increasing convex order, the upper orthant order, the upper orthant...
AbstractIn this paper, we establish some results for the increasing convex comparisons of generalize...
The purpose of this note is two-fold. First we derive a simple condition under which two s-convex or...
In this paper, newclasses of stochastic order relations are introduced. These can be seen as extensi...
New classes of order relations for discrete bivariate random vectors are introduced that essentially...
We de1ne a new stochastic order for random vectors in terms of the inclusion relation for the Aumann...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
This paper extends a useful property of the increasing convex order to the multivariate orthant conv...
In the literature of stochastic orders, one rarely finds results characterizing non-comparability of...
summary:We consider partial orderings for stochastic processes induced by expectations of convex or ...
We define new stochastic orders in higher dimensions called weak correlation orders. It is shown tha...
It is known that the sums of the components of two random vectors (X1,X2,…,Xn) and (Y1,Y2,…,Yn) orde...
It is known that the sums of the components of two random vectors (X1,X2,...,Xn) and (Y1,Y2,...,Yn) ...