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New explicit examples of fixed points of Poisson shot noise transforms

2002/02/05 by Aleksander M. Iksanov, Iksanov, Aleksander M., Che Soong Kim +1
Computer Science · Decision Sciences · Mathematics · #Bayesian Methods and Mixture Models #Probability and Risk Models #Statistical Distribution Estimation and Applications #math.PR #msc:60E07

paper · pdf · doi:10.48550/arxiv.math/0202035

12 pages

arxiv created 2002/09/02 · arxiv updated 2009/11/30

Abstract

We show that gamma distributions, generalized positive Linnik distributions, S2 distributions are fixed points of Poisson shot noise transforms. The corresponding response functions are identified via their inverse functions except for some special cases when those can be obtained explicitly. As a by-product, it is proven that log-convexity of the response function is not necessary for selfdecomposability of non-negative Poisson shot noise distribution. Some attention is given to perpetuities of a rather special type which are closely related to our model. In particular, we study the problem of their existence and uniqueness.

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