On a Markov chain related to the individual lengths in the recursive construction of Kingman's coalescent

Fuente: arXiv
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Auteur principal: Yuan, Linglong
Format: Preprint
Publié: 2023
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author Yuan, Linglong
author_facet Yuan, Linglong
contents Kingman's coalescent is a widely used process to model sample genealogies in population genetics. Recently there have been studies on the inference of quantities related to the genealogy of additional individuals given a known sample. This paper explores the recursive (or sequential) construction which is a natural way of enlarging the sample size by adding individuals one after another to the sample genealogy via individual lineages to construct the Kingman's coalescent. Although the process of successively added lineage lengths is not Markovian, we show that it contains a Markov chain which records the information of the successive largest lineage lengths and we prove a limit theorem for this Markov chain.
format Preprint
id arxiv_https___arxiv_org_abs_2310_14882
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On a Markov chain related to the individual lengths in the recursive construction of Kingman's coalescent
Yuan, Linglong
Probability
Kingman's coalescent is a widely used process to model sample genealogies in population genetics. Recently there have been studies on the inference of quantities related to the genealogy of additional individuals given a known sample. This paper explores the recursive (or sequential) construction which is a natural way of enlarging the sample size by adding individuals one after another to the sample genealogy via individual lineages to construct the Kingman's coalescent. Although the process of successively added lineage lengths is not Markovian, we show that it contains a Markov chain which records the information of the successive largest lineage lengths and we prove a limit theorem for this Markov chain.
title On a Markov chain related to the individual lengths in the recursive construction of Kingman's coalescent
topic Probability
url https://arxiv.org/abs/2310.14882