AbstractTwo conditions are shown under which elliptical distributions are scale mixtures of normal distributions with respect to probability distributions. The issue of finding the mixing distribution function is also considered. As a unified theoretical framework, it is also shown that any scale mixture of normal distributions is always a term of a sequence of elliptical distributions, increasing in dimension, and that all the terms of this sequence are also scale mixtures of normal distributions sharing the same mixing distribution function. Some examples are shown as applications of these concepts, showing the way of finding the mixing distribution function
This paper presents two types of symmetric scale mixture probability distributions which include the...
The random vector x is said to have an elliptical contoured distribution provided its characteristic...
The thesis recalls the traditional theory of elliptically symmetric distributions. Their basic prope...
AbstractTwo conditions are shown under which elliptical distributions are scale mixtures of normal d...
AbstractWe consider here the distributions of order statistics and linear combinations of order stat...
SUMMARY. In this paper we study matrix variate elliptically contoured distributions that admit a nor...
AbstractThe theory of elliptically contoured distributions is presented in an unrestricted setting, ...
We present the general results on the univariate tail conditional moments for a location-scale mixtu...
In this article, we introduce an asymmetric extension to the univariate slash-elliptical family of d...
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
AbstractSeveral conditions are established under which a family of elliptical probability density fu...
AbstractSeveral conditions are established under which a family of elliptical probability density fu...
This article first reviews the definition of elliptically symmetric distributions and discusses iden...
Abstract. By using well known properties of elliptical distributions we show that the relation betwe...
In this article, we introduce an asymmetric extension to the univariate slash-elliptical family of d...
This paper presents two types of symmetric scale mixture probability distributions which include the...
The random vector x is said to have an elliptical contoured distribution provided its characteristic...
The thesis recalls the traditional theory of elliptically symmetric distributions. Their basic prope...
AbstractTwo conditions are shown under which elliptical distributions are scale mixtures of normal d...
AbstractWe consider here the distributions of order statistics and linear combinations of order stat...
SUMMARY. In this paper we study matrix variate elliptically contoured distributions that admit a nor...
AbstractThe theory of elliptically contoured distributions is presented in an unrestricted setting, ...
We present the general results on the univariate tail conditional moments for a location-scale mixtu...
In this article, we introduce an asymmetric extension to the univariate slash-elliptical family of d...
We present general results on the identifiability of finite mixtures of elliptical distrib-utions un...
AbstractSeveral conditions are established under which a family of elliptical probability density fu...
AbstractSeveral conditions are established under which a family of elliptical probability density fu...
This article first reviews the definition of elliptically symmetric distributions and discusses iden...
Abstract. By using well known properties of elliptical distributions we show that the relation betwe...
In this article, we introduce an asymmetric extension to the univariate slash-elliptical family of d...
This paper presents two types of symmetric scale mixture probability distributions which include the...
The random vector x is said to have an elliptical contoured distribution provided its characteristic...
The thesis recalls the traditional theory of elliptically symmetric distributions. Their basic prope...