Reduced critical Bellman-Harris branching processes for small populations
Wenming Hong, Yao Ji, Vladimir Vatutin

TL;DR
This paper investigates the structure of critical Bellman-Harris branching processes with finite variance under small population constraints, focusing on the process's behavior when populations are limited by functions growing slower than or linearly with time.
Contribution
It introduces a reduced model for critical Bellman-Harris processes under small population conditions, analyzing the process's structure with specific growth constraints.
Findings
Characterization of process structure under small population limits
Asymptotic behavior when population constraints grow slower than time
Analysis of process with linear population constraints
Abstract
Let be a critical Bellman-Harris branching process with finite variance for the offspring size of particles. Assuming that , where either as or , we study the structure of the process where is the number of particles in the process at moment in the initial process which either survive up to moment or have a positive offspring number at this moment.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Bayesian Methods and Mixture Models
