In this paper, we extend Stein’s method to products of independent beta, gamma, generalised gamma and mean zero normal random variables. In particular, we obtain Stein operators for mixed products of these distributions, which include the classical beta, gamma and normal Stein operators as special cases. These operators lead us to closed-form expressions involving the Meijer G-function for the probability density function and characteristic function of the mixed product of independent beta, gamma and central normal random variables
In extending Stein's method to new target distributions, the first step is to find a Stein operator ...
Stein's method is a powerful technique that can be used to obtain bounds for approximation errors in...
This article deals with Stein characterizations of probability distributions. We provide a general f...
13 pagesInternational audienceWe provide a general result for finding Stein operators for the produc...
In this paper we extend Stein's method to the distribution of the product of n independent mean zero...
We present a proof of the explicit formula of the probability density function of the product of nor...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
We propose a new general version of Stein's method for univariate distributions. In particular we pr...
In extending Stein's method to new target distributions, the first step is to find a Stein operator ...
We propose a new general version of Stein's method for univariate distributions. In particular we pr...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
Stein's method is a powerful technique that can be used to obtain bounds for approximation errors in...
In extending Stein's method to new target distributions, the first step is to find a Stein operator ...
Stein's method is a powerful technique that can be used to obtain bounds for approximation errors in...
This article deals with Stein characterizations of probability distributions. We provide a general f...
13 pagesInternational audienceWe provide a general result for finding Stein operators for the produc...
In this paper we extend Stein's method to the distribution of the product of n independent mean zero...
We present a proof of the explicit formula of the probability density function of the product of nor...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
This corresponds to the second section of https://arxiv.org/abs/1601.03301 New results added and app...
We propose a new general version of Stein's method for univariate distributions. In particular we pr...
In extending Stein's method to new target distributions, the first step is to find a Stein operator ...
We propose a new general version of Stein's method for univariate distributions. In particular we pr...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
Variance-Gamma distributions are widely used in financial modeling and contain as special cases the ...
Stein's method is a powerful technique that can be used to obtain bounds for approximation errors in...
In extending Stein's method to new target distributions, the first step is to find a Stein operator ...
Stein's method is a powerful technique that can be used to obtain bounds for approximation errors in...
This article deals with Stein characterizations of probability distributions. We provide a general f...