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2015 | OriginalPaper | Chapter

4. Continuous State Branching Processes

Authors : Vincent Bansaye, Sylvie Méléard

Published in: Stochastic Models for Structured Populations

Publisher: Springer International Publishing

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Abstract

In this part, we consider a new class of stochastic differential equations for monotype populations, taking into account exceptional events where an individual has a large number of offspring. We generalize the Feller equation (3.​12) obtained in Subsection 3.​2 by adding jumps whose rates are proportional to the population size. The jumps are driven by a Poisson point measure, as already done in Subsection 2.​4 This class of processes satisfies the branching property: the individuals of the underlying population evolve independently. Combining this property with the tools developed in the first part, we describe finely the processes, their long time behavior, and the scaling limits they come from.

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Metadata
Title
Continuous State Branching Processes
Authors
Vincent Bansaye
Sylvie Méléard
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-21711-6_4