Copyright © 2014 Werner Hürlimann. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions under which a naive algebraic solution to a random affine stochastic equation yields a genuine stochastic solution with a given independence property are derived. The well-known example by Letac is characterized and generalized to a non-trivial dependence structure. As by-products, a series representation of the exact probability density of a sum of independent gamma random variables is recovered, and a new elementary proof of Lukacs’ characterization of the gamma distribution is adde...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We present an application to random Fourier series for φ-subgaussian random variables. In particular...
[EN] This paper deals with the extension, in the mean square sense, of the deterministic gamma funct...
AbstractAccording to the celebrated Lukacs theorem, independence of quotient and sum of two independ...
Abstract. Let {Xi, 1 ≤ i ≤ n} be a sequence of i.i.d. sequence of positive random variables with com...
AbstractThree new properties are derived. The first one relates to the distribution ofUG+G′, where t...
Three new properties are derived. The first one relates to the distribution of UG q GX, where the th...
AbstractThree new properties are derived. The first one relates to the distribution ofUG+G′, where t...
AbstractThis paper adds to the numerous investigations of second order conditional structure of line...
This paper deals with the extension, in the mean square sense, of the deterministic gamma function t...
In this paper we will prove a characterization for the independence of random vectors with positive ...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We link a general method for modeling random phenomena using systems of stochastic differential equa...
[[abstract]]Let n greater than or equal to 3 and let X-1,...,X-n be positive i.i.d. random variables...
In this paper we propose a new, simple and explicit mechanism allowing to derive Stein operators for...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We present an application to random Fourier series for φ-subgaussian random variables. In particular...
[EN] This paper deals with the extension, in the mean square sense, of the deterministic gamma funct...
AbstractAccording to the celebrated Lukacs theorem, independence of quotient and sum of two independ...
Abstract. Let {Xi, 1 ≤ i ≤ n} be a sequence of i.i.d. sequence of positive random variables with com...
AbstractThree new properties are derived. The first one relates to the distribution ofUG+G′, where t...
Three new properties are derived. The first one relates to the distribution of UG q GX, where the th...
AbstractThree new properties are derived. The first one relates to the distribution ofUG+G′, where t...
AbstractThis paper adds to the numerous investigations of second order conditional structure of line...
This paper deals with the extension, in the mean square sense, of the deterministic gamma function t...
In this paper we will prove a characterization for the independence of random vectors with positive ...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We link a general method for modeling random phenomena using systems of stochastic differential equa...
[[abstract]]Let n greater than or equal to 3 and let X-1,...,X-n be positive i.i.d. random variables...
In this paper we propose a new, simple and explicit mechanism allowing to derive Stein operators for...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
We present an application to random Fourier series for φ-subgaussian random variables. In particular...
[EN] This paper deals with the extension, in the mean square sense, of the deterministic gamma funct...