A law of large numbers approximation for Markov population processes with countably many types

A.D. Barbour, M.J. Luczak

Research output: Contribution to journalArticlepeer-review

Abstract

When modelling metapopulation dynamics, the influence of a single patch on the metapopulation depends on the number of individuals in the patch. Since the population size has no natural upper limit, this leads to systems in which there are countably infinitely many possible types of individual. Analogous considerations apply in the transmission of parasitic diseases. In this paper, we prove a law of large numbers for quite general systems of this kind, together with a rather sharp bound on the rate of convergence in an appropriately chosen weighted ℓ 1 norm.
Original languageEnglish
Pages (from-to)727-757
Number of pages31
JournalProbability Theory and Related Fields
Volume153
Issue number3-4
DOIs
Publication statusPublished - Aug 2012

Keywords

  • Countably many types
  • Epidemic models
  • Markov population processes
  • Metapopulation processes
  • Quantitative law of large numbers

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