Asymptotic formulas for products of Poisson distributions

Fuente: arXiv
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Autori principali: Chvoinikov, Džiugas, Šiaulys, Jonas
Natura: Preprint
Pubblicazione: 2026
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author Chvoinikov, Džiugas
Šiaulys, Jonas
author_facet Chvoinikov, Džiugas
Šiaulys, Jonas
contents In this paper, we study the asymptotic behaviour of the product tail probability $ \mathbb{P}(ξ_1\cdotsξ_N \geqslant n), $ where $\{ξ_1,\ldots,ξ_N\}$ is a finite collection of independent Poisson random variables with positive parameters $λ_1,\ldots,λ_N$. We derive a refined Laplace-type asymptotic formula for the tail probability, based on Stirling's logarithmic approximation, a constrained saddle-point method, the Lambert function, and a careful evaluation of the constrained Gaussian prefactor. This yields an explicit approximation with an $O(\log n)$ remainder term in the exponent.
format Preprint
id arxiv_https___arxiv_org_abs_2603_08598
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Asymptotic formulas for products of Poisson distributions
Chvoinikov, Džiugas
Šiaulys, Jonas
Probability
In this paper, we study the asymptotic behaviour of the product tail probability $ \mathbb{P}(ξ_1\cdotsξ_N \geqslant n), $ where $\{ξ_1,\ldots,ξ_N\}$ is a finite collection of independent Poisson random variables with positive parameters $λ_1,\ldots,λ_N$. We derive a refined Laplace-type asymptotic formula for the tail probability, based on Stirling's logarithmic approximation, a constrained saddle-point method, the Lambert function, and a careful evaluation of the constrained Gaussian prefactor. This yields an explicit approximation with an $O(\log n)$ remainder term in the exponent.
title Asymptotic formulas for products of Poisson distributions
topic Probability
url https://arxiv.org/abs/2603.08598