Asymptotic sampling formulae for Λ-coalescents

We present a robust method which translates information on the speed of coming down from infinity of a genealogical tree into sampling formulae for the underlying population. We apply these results to population dynamics where the genealogy is given by a Λ-coalescent. This allows us to derive an exa...

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Main Authors: Berestycki, J, Berestycki, N, Limic, V
Format: Journal article
Language:English
Published: Institute of Mathematical Statistics 2014
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author Berestycki, J
Berestycki, N
Limic, V
author_facet Berestycki, J
Berestycki, N
Limic, V
author_sort Berestycki, J
collection OXFORD
description We present a robust method which translates information on the speed of coming down from infinity of a genealogical tree into sampling formulae for the underlying population. We apply these results to population dynamics where the genealogy is given by a Λ-coalescent. This allows us to derive an exact formula for the asymptotic behavior of the site and allele frequency spectrum and the number of segregating sites, as the sample size tends to ∞. Some of our results hold in the case of a general Λ-coalescent that comes down from infinity, but we obtain more precise information under a regular variation assumption. In this case, we obtain results of independent interest for the time at which a mutation uniformly chosen at random was generated. This exhibits a phase transition at α = 3/2, where α ∈ (1, 2) is the exponent of regular variation. © Association des Publications de l'Institut Henri Poincaré, 2014.
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spelling oxford-uuid:66bf77ae-abfe-4944-ae5d-faf16355b37a2022-03-26T18:33:51ZAsymptotic sampling formulae for Λ-coalescentsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:66bf77ae-abfe-4944-ae5d-faf16355b37aEnglishSymplectic Elements at OxfordInstitute of Mathematical Statistics2014Berestycki, JBerestycki, NLimic, VWe present a robust method which translates information on the speed of coming down from infinity of a genealogical tree into sampling formulae for the underlying population. We apply these results to population dynamics where the genealogy is given by a Λ-coalescent. This allows us to derive an exact formula for the asymptotic behavior of the site and allele frequency spectrum and the number of segregating sites, as the sample size tends to ∞. Some of our results hold in the case of a general Λ-coalescent that comes down from infinity, but we obtain more precise information under a regular variation assumption. In this case, we obtain results of independent interest for the time at which a mutation uniformly chosen at random was generated. This exhibits a phase transition at α = 3/2, where α ∈ (1, 2) is the exponent of regular variation. © Association des Publications de l'Institut Henri Poincaré, 2014.
spellingShingle Berestycki, J
Berestycki, N
Limic, V
Asymptotic sampling formulae for Λ-coalescents
title Asymptotic sampling formulae for Λ-coalescents
title_full Asymptotic sampling formulae for Λ-coalescents
title_fullStr Asymptotic sampling formulae for Λ-coalescents
title_full_unstemmed Asymptotic sampling formulae for Λ-coalescents
title_short Asymptotic sampling formulae for Λ-coalescents
title_sort asymptotic sampling formulae for λ coalescents
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