Popoulation-size-dependent branching processes

Popoulation-size-dependent branching processes

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Article ID: iaor19972049
Country: United Kingdom
Volume: 9
Issue: 4
Start Page Number: 449
End Page Number: 457
Publication Date: Dec 1996
Journal: Journal of Applied Mathematics and Stochastic Analysis
Authors:
Keywords: probability
Abstract:

In a recent paper a coupling method was used to show that if population size, or more generally population history, influence upon individual reproduction in growing, branching-style populations disappears after some random time, then the classicl Malthusian properties of exponential growth and stabilization of composition persist. While this seems self-evident, as stated, it is interesting that it leads to neat criteria via a direct Borel-Cantelli argument: If equ1 is the expected number of children of an individual in an n-size population and equ2, then essentially equ3 suffices to guarantee Malthusian behavior with the same parameter as a limiting independent-individual process with expected offspring number m. (For simplicity the criterion is stated for the single-type case here.) However, this is not as strong as the results known for the special cases of Galton-Watson process, Markov branching, and a binary splitting tumor model, which all require only something like equ4. This note studies such latter criteria more generally.

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