Inspired by the work of Adcock, Landsman, and Shushi (2019) which established the Stein’s lemma for generalized skew-elliptical random vectors, we derive Stein type lemmas for location-scale mixture of generalized skew-elliptical random vectors. Some special cases such as the location-scale mixture of elliptical random vectors, the location-scale mixture of generalized skew-normal random vectors, and the location-scale mixture of normal random vectors are also considered. As an application in risk theory, we give a result for optimal portfolio selection
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
peer reviewedWe build on the formalism developed in Ernst et al. (First order covariance inequalitie...
AbstractTwo conditions are shown under which elliptical distributions are scale mixtures of normal d...
This paper generalizes Stein's Lemma recently obtained for elliptical class distributions to the gen...
AbstractFor the family of multivariate normal distribution functions, Stein's Lemma presents a usefu...
For the family of multivariate normal distribution functions, Stein's Lemma presents a useful tool f...
When two random variables have a bivariate normal distribution, Stein's lemma (Stein, 1973, 1981), p...
We show that the distribution of any portfolio whose components jointly follow a location-scale mixt...
We show that the distribution of any portfolio whose components jointly follow a location-scale mixt...
We present the general results on the univariate tail conditional moments for a location-scale mixtu...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
We are grateful to Francisco Peñaranda for helpful comments and suggestions. Of course, the usual ca...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
In this paper, we present a minimal formalism for Stein operators which leads to different probabili...
We derive explicit central moment inequalities for random variables that admit a Stein coupling, suc...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
peer reviewedWe build on the formalism developed in Ernst et al. (First order covariance inequalitie...
AbstractTwo conditions are shown under which elliptical distributions are scale mixtures of normal d...
This paper generalizes Stein's Lemma recently obtained for elliptical class distributions to the gen...
AbstractFor the family of multivariate normal distribution functions, Stein's Lemma presents a usefu...
For the family of multivariate normal distribution functions, Stein's Lemma presents a useful tool f...
When two random variables have a bivariate normal distribution, Stein's lemma (Stein, 1973, 1981), p...
We show that the distribution of any portfolio whose components jointly follow a location-scale mixt...
We show that the distribution of any portfolio whose components jointly follow a location-scale mixt...
We present the general results on the univariate tail conditional moments for a location-scale mixtu...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
We are grateful to Francisco Peñaranda for helpful comments and suggestions. Of course, the usual ca...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
In this paper, we present a minimal formalism for Stein operators which leads to different probabili...
We derive explicit central moment inequalities for random variables that admit a Stein coupling, suc...
International audienceWe consider two random vectors X and Y, such that the components of X are domi...
peer reviewedWe build on the formalism developed in Ernst et al. (First order covariance inequalitie...
AbstractTwo conditions are shown under which elliptical distributions are scale mixtures of normal d...