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Bibliographic Details
Main Author: Townes, F. William
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.17614
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author Townes, F. William
author_facet Townes, F. William
contents Mixed Poisson distributions provide a flexible approach to the analysis of count data with overdispersion, zero inflation, or heavy tails. Since the Poisson mean must be nonnegative, the mixing distribution is typically assumed to have nonnegative support. We show this assumption is unnecessary and real-valued mixing distributions are also possible. Informally, the mixing distribution merely needs to have a light (subexponential) left tail and a small amount of probability mass on negative values. We provide several concrete examples, including the mixed Poisson-extreme stable family, where the mixing distribution has a power law tail.
format Preprint
id arxiv_https___arxiv_org_abs_2407_17614
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mixed Poisson families with real-valued mixing distributions
Townes, F. William
Probability
60E05 (Primary) 62E10 (Secondary)
G.3
Mixed Poisson distributions provide a flexible approach to the analysis of count data with overdispersion, zero inflation, or heavy tails. Since the Poisson mean must be nonnegative, the mixing distribution is typically assumed to have nonnegative support. We show this assumption is unnecessary and real-valued mixing distributions are also possible. Informally, the mixing distribution merely needs to have a light (subexponential) left tail and a small amount of probability mass on negative values. We provide several concrete examples, including the mixed Poisson-extreme stable family, where the mixing distribution has a power law tail.
title Mixed Poisson families with real-valued mixing distributions
topic Probability
60E05 (Primary) 62E10 (Secondary)
G.3
url https://arxiv.org/abs/2407.17614