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Exact simulation of the genealogical tree for a stationary branching population and application to the asymptotics of its total length

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2 Citations (Scopus)

Abstract

We consider a model of a stationary population with random size given by a continuous-state branching process with immigration with a quadratic branching mechanism. We give an exact elementary simulation procedure for the genealogical tree of n individuals randomly chosen among the extant population at a given time. Then we prove the convergence of the renormalized total length of this genealogical tree as n goes to infinity; see also Pfaffelhuber, Wakolbinger and Weisshaupt (2011) in the context of a constant-size population. The limit appears already in Bi and Delmas (2016) but with a different approximation of the full genealogical tree. The proof is based on the ancestral process of the extant population at a fixed time, which was defined by Aldous and Popovic (2005) in the critical case.

Original languageEnglish
Pages (from-to)537-574
Number of pages38
JournalAdvances in Applied Probability
Volume53
Issue number2
DOIs
Publication statusPublished - 1 Jun 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Stationary branching processes
  • ancestral process
  • genealogical trees
  • real trees
  • simulation

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