The class of R-diagonal *-distributions is fairly well understood in free probability. In this class, we consider the concept of infinite divisibility with respect to the operation ⊞ of free additive convolution. We exploit the relation between free probability and the parallel (and simpler) world of Boolean probability. It is natural to introduce the concept of an eta-diagonal distribution that is the Boolean counterpart of an R-diagonal distribution. We establish a number of properties of eta-diagonal distributions, then we examine the canonical bijection relating eta-diagonal distributions to infinitely divisible R-diagonal ones. The overall result is a parametrization of an arbitrary ⊞-infinitely divisible R-diagonal distribution that c...
Random integral mappings give isomorphism between the subsemigroups of the classical (I D, *) and t...
The principles of infinite divisibility are discussed, and illustrated by their occurrence in statis...
This paper introduces and studies a family of new classes of infinitely divisible distributions on R...
The class of $R$-diagonal $*$-distributions is fairly well understood in free probability. In this c...
In a previous paper ([B-G1]), we defined the rectangular free convolution λ. Here, we investigate th...
We construct a random matrix model for the bijection between clas-sical and free infinitely divisib...
AbstractWe prove that the classical normal distribution is infinitely divisible with respect to the ...
We study infinitely divisible (ID) distributions on the nonnegative half-line $\mathbb{R}_+$. The L\...
We study the freely infinitely divisible distributions that appear as the laws of free subordinators...
We prove that $X^r$ follows a free regular distribution, i.e. the law of a nonnegative free Lévy pro...
There is a one-to-one correspondence between classical one-dimensional infi-nitely divisible distrib...
AbstractA particular class of p-dimensional exponential distributions have Laplace transforms |I + V...
In this paper additive bi-free convolution is defined for general Borel probability measures, and th...
Abstract. We prove that if (a; b) is an R-diagonal pair in some non-commu-tative probability space (...
AbstractLet k be a positive integer and let Dc(k) denote the space of joint distributions for k-tupl...
Random integral mappings give isomorphism between the subsemigroups of the classical (I D, *) and t...
The principles of infinite divisibility are discussed, and illustrated by their occurrence in statis...
This paper introduces and studies a family of new classes of infinitely divisible distributions on R...
The class of $R$-diagonal $*$-distributions is fairly well understood in free probability. In this c...
In a previous paper ([B-G1]), we defined the rectangular free convolution λ. Here, we investigate th...
We construct a random matrix model for the bijection between clas-sical and free infinitely divisib...
AbstractWe prove that the classical normal distribution is infinitely divisible with respect to the ...
We study infinitely divisible (ID) distributions on the nonnegative half-line $\mathbb{R}_+$. The L\...
We study the freely infinitely divisible distributions that appear as the laws of free subordinators...
We prove that $X^r$ follows a free regular distribution, i.e. the law of a nonnegative free Lévy pro...
There is a one-to-one correspondence between classical one-dimensional infi-nitely divisible distrib...
AbstractA particular class of p-dimensional exponential distributions have Laplace transforms |I + V...
In this paper additive bi-free convolution is defined for general Borel probability measures, and th...
Abstract. We prove that if (a; b) is an R-diagonal pair in some non-commu-tative probability space (...
AbstractLet k be a positive integer and let Dc(k) denote the space of joint distributions for k-tupl...
Random integral mappings give isomorphism between the subsemigroups of the classical (I D, *) and t...
The principles of infinite divisibility are discussed, and illustrated by their occurrence in statis...
This paper introduces and studies a family of new classes of infinitely divisible distributions on R...