The Nested Kingman Coalescent

Speed of Coming Down from Infinity

Airam Blancas Benítez, Tim Rogers, Jason Schweinsberg, Arno Siri-Jégousse

Research output: Contribution to journalArticle

1 Citation (Scopus)
10 Downloads (Pure)

Abstract

The nested Kingman coalescent describes the ancestral tree of a population undergoing neutral evolution at the level of individuals and at the level of species, simultaneously. We study the speed at which the number of lineages descends from infinity in this hierarchical coalescent process and prove the existence of an early-time phase during which the number of lineages at time t decays as 2γ /ct 2 , where c is the ratio of the coalescence rates at the individual and species levels, and the constant γ ≈ 3.45 is derived from a recursive distributional equation for the number of lineages contained within a species at a typical time.

Original languageEnglish
Pages (from-to) 1808–1836
Number of pages29
JournalAnnals of Applied Probability
Volume29
Issue number3
Early online date19 Feb 2019
DOIs
Publication statusPublished - 19 Feb 2019

Keywords

  • Coming down from infinity
  • Gene tree
  • Kingman's coalescent
  • Nested coalescent
  • Recursive distributional equation
  • Species tree

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

The Nested Kingman Coalescent : Speed of Coming Down from Infinity. / Benítez, Airam Blancas; Rogers, Tim; Schweinsberg, Jason; Siri-Jégousse, Arno.

In: Annals of Applied Probability, Vol. 29, No. 3, 19.02.2019, p. 1808–1836.

Research output: Contribution to journalArticle

Benítez, AB, Rogers, T, Schweinsberg, J & Siri-Jégousse, A 2019, 'The Nested Kingman Coalescent: Speed of Coming Down from Infinity', Annals of Applied Probability, vol. 29, no. 3, pp. 1808–1836. https://doi.org/10.1214/18-AAP1440
Benítez, Airam Blancas ; Rogers, Tim ; Schweinsberg, Jason ; Siri-Jégousse, Arno. / The Nested Kingman Coalescent : Speed of Coming Down from Infinity. In: Annals of Applied Probability. 2019 ; Vol. 29, No. 3. pp. 1808–1836.
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