Infinitely divisible modified Bessel distributions
\'Arp\'ad Baricz, Dhivya Prabhu K, Sanjeev Singh, Antony Vijesh V

TL;DR
This paper investigates a class of continuous probability distributions related to modified Bessel functions, establishing their infinite divisibility and deriving new integral and Stieltjes transform representations using special functions techniques.
Contribution
It provides new proofs and representations for distributions connected to modified Bessel functions, expanding understanding of their infinite divisibility and related properties.
Findings
Many distributions are shown to be infinitely divisible and self-decomposable.
New integral and Stieltjes transform representations are derived for Bessel-related functions.
The paper introduces new infinitely divisible distributions based on Bessel functions.
Abstract
In this paper we focus on continuous univariate probability distributions, like McKay distributions, -distribution, generalized inverse Gaussian distribution and generalised McKay distributions, with support which are related to modified Bessel functions of the first and second kinds and in most cases we show that they belong to the class infinitely divisible distributions, self-decomposable distributions, generalized gamma convolutions and hyperbolically completely monotone densities. Some of the results are known, however the proofs are new and we use special functions technique. Integral representations of quotients of Tricomi hypergeometric functions as well as of quotients of Gaussian hypergeometric functions, or modified Bessel functions of the second kind play an important role in our study. In addition, by using a different approach we rediscover a Stieltjes…
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Bayesian Methods and Mixture Models · Probability and Risk Models
