English

Heavy tailed branching process with immigration

Probability 2012-07-31 v1

Abstract

In this paper we analyze a branching process with immigration defined recursively by Xt=θtXt1+BtX_t=\theta_t\circ X_{t-1}+B_t for a sequence (Bt)(B_t) of i.i.d. random variables and random mappings θtx:=θt(x)=i=1xAi(t), \theta_t\circ x:=\theta_t(x)=\sum_{i=1}^xA_i^{(t)}, with (Ai(t))iN0(A_i^{(t)})_{i\in \mathbb{N}_0} being a sequence of N0\mathbb{N}_0-valued i.i.d. random variables independent of BtB_t. We assume that one of generic variables AA and BB has a regularly varying tail distribution. We identify the tail behaviour of the distribution of the stationary solution XtX_t. We also prove CLT for the partial sums that could be further generalized to FCLT. Finally, we also show that partial maxima have a Fr\'echet limiting distribution.

Keywords

Cite

@article{arxiv.1207.6874,
  title  = {Heavy tailed branching process with immigration},
  author = {Bojan Basrak and Rafał Kulik and Zbigniew Palmowski},
  journal= {arXiv preprint arXiv:1207.6874},
  year   = {2012}
}
R2 v1 2026-06-21T21:43:17.051Z