Asymptotics of continuous-time discrete state space branching processes for large initial state
Probability
2021-05-05 v1
Abstract
Scaling limits for continuous-time branching processes with discrete state space are provided as the initial state tends to infinity. Depending on the finiteness or non-finiteness of the mean and/or the variance of the offspring distribution, the limits are in general time-inhomogeneous Gaussian processes, time-inhomogeneous generalized Ornstein-Uhlenbeck type processes or continuous-state branching processes. We also provide transfer results showing how specific asymptotic relations for the probability generating function of the offspring distribution carry over to those of the one-dimensional distributions of the branching process.
Cite
@article{arxiv.2002.05940,
title = {Asymptotics of continuous-time discrete state space branching processes for large initial state},
author = {Martin Möhle and Benedict Vetter},
journal= {arXiv preprint arXiv:2002.05940},
year = {2021}
}