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Approximation of exceedance processes in large populations

  • I. Rahimov*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We consider a population of n individuals. Each of these individuals generates a discrete time branching stochastic process. We study the number of ancestors S(n, t) whose offspring at time t exceeds level θ(t), where θ(t) is some positive valued function. It is proved that S(n, t) may be approximated as t → ∞ and n → ∞ by some stochastic processes with independent increments.

Original languageEnglish
Pages (from-to)147-156
Number of pages10
JournalCommunications in Statistics. Part C: Stochastic Models
Volume17
Issue number2
DOIs
StatePublished - 2001

Keywords

  • Ancestor
  • Binomial process
  • Branching process
  • Brownian motion
  • Exceedance
  • Poisson process
  • Population
  • Skorohod topology

ASJC Scopus subject areas

  • Modeling and Simulation

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