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Auteur principal: Gnedin, Alexander
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:https://arxiv.org/abs/2601.04371
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author Gnedin, Alexander
author_facet Gnedin, Alexander
contents Many discrete-time optimal stopping problems are known to have more tractable limit forms based on a planar Poisson process. Using this tool we find a solution to the optimal stopping problem for i.i.d. sequence of $n$ discrete uniform random variables, in the asymptotic regime where $n$ and the range of distribution are of the same order. The optimal stopping rule in the Poisson problem is identified, by means of a time change, with known asymptotic solution to Lindley's problem of minimising the expected rank.
format Preprint
id arxiv_https___arxiv_org_abs_2601_04371
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimal Stopping for the Uniform Distribution
Gnedin, Alexander
Probability
60G40
Many discrete-time optimal stopping problems are known to have more tractable limit forms based on a planar Poisson process. Using this tool we find a solution to the optimal stopping problem for i.i.d. sequence of $n$ discrete uniform random variables, in the asymptotic regime where $n$ and the range of distribution are of the same order. The optimal stopping rule in the Poisson problem is identified, by means of a time change, with known asymptotic solution to Lindley's problem of minimising the expected rank.
title Optimal Stopping for the Uniform Distribution
topic Probability
60G40
url https://arxiv.org/abs/2601.04371