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1. Verfasser: Aldridge, Matthew
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2509.12070
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author Aldridge, Matthew
author_facet Aldridge, Matthew
contents A random variable X is strictly stable if a sum of independent copies of X has the same distribution as X up to scaling, and is stable (in the broad sense) if the sum has the same distribution as X up to both scaling and shifting. Steutel and Van Harn studied 'discrete strict stability' for random variables taking values in the non-negative integers, replacing scaling by the thinning operation. We extend this to 'discrete stability' (in the broad sense), where shifting is replaced by the addition of an independent Poisson random variable. The discrete stable distributions are 'Poisson-delayed Sibuya' distributions, which include the Poisson and Hermite distributions. Similar results have been proved independently by Townes (arXiv:2509.05497).
format Preprint
id arxiv_https___arxiv_org_abs_2509_12070
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Discrete broadly stable distributions
Aldridge, Matthew
Probability
A random variable X is strictly stable if a sum of independent copies of X has the same distribution as X up to scaling, and is stable (in the broad sense) if the sum has the same distribution as X up to both scaling and shifting. Steutel and Van Harn studied 'discrete strict stability' for random variables taking values in the non-negative integers, replacing scaling by the thinning operation. We extend this to 'discrete stability' (in the broad sense), where shifting is replaced by the addition of an independent Poisson random variable. The discrete stable distributions are 'Poisson-delayed Sibuya' distributions, which include the Poisson and Hermite distributions. Similar results have been proved independently by Townes (arXiv:2509.05497).
title Discrete broadly stable distributions
topic Probability
url https://arxiv.org/abs/2509.12070