Approximate modeling for supercritical Galton-Watson branching processes with compound Poisson-gamma distribution

Kyoya Uemura, Tomoyuki Obuchi, Toshiyuki Tanaka

Abstract:

We study asymptotic properties of supercritical Galton-Watson (GW) branching processes in the asymptotic where the mean of the offspring distribution approaches 1 from above. We show that the population-size distribution of the GW branching processes at a sufficiently large generation in this asymptotic can be approximated by a compound Poisson-gamma distribution. Numerical experiments revealed that the compound Poisson-gamma models were in good agreement with the corresponding GW models for sufficiently large generations under a reasonable parameter regime. Our results can be regarded as supporting the use of the compound Poisson-gamma
model as a model for cascaded multiplication processes.