Limit theorems for supercritical age-dependent branching processes with neutral immigration
Mathieu Richard

TL;DR
This paper establishes limit theorems for supercritical age-dependent branching processes with neutral immigration, demonstrating almost sure convergence of population structures under relaxed conditions and analyzing various models of structured populations.
Contribution
It introduces spine decomposition techniques to relax convergence assumptions and analyzes structured population models with different immigration type distributions.
Findings
Almost sure convergence of total population size under relaxed conditions
Convergence of relative abundances in structured population models
GEM distribution as the limit in the first model
Abstract
We consider a branching process with Poissonian immigration where individuals have inheritable types. At rate theta, new individuals singly enter the total population and start a new population which evolves like a supercritical, homogeneous, binary Crump-Mode-Jagers process: individuals have i.i.d. lifetimes durations (non necessarily exponential) during which they give birth independently at constant rate b. First, using spine decomposition, we relax previously known assumptions required for a.s. convergence of total population size. Then, we consider three models of structured populations: either all immigrants have a different type, or types are drawn in a discrete spectrum or in a continuous spectrum. In each model, the vector (P_1,P_2,...) of relative abundances of surviving families converges a.s. In the first model, the limit is the GEM distribution with parameter theta/b.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical and Theoretical Epidemiology and Ecology Models · Bayesian Methods and Mixture Models
