Some properties of stationary continuous state branching processes
Romain Abraham, Jean-Fran\c{c}ois Delmas, Hui He

TL;DR
This paper studies the genealogical structures of stationary continuous state branching processes with immigration, revealing their distributional properties and transition dynamics under various branching mechanisms.
Contribution
It characterizes the genealogical tree of such processes as a continuous-time Galton-Watson process with immigration for sub-critical cases and analyzes related birth-death processes.
Findings
Genealogical tree distribution as Galton-Watson process with immigration
Transition rates for birth-death processes in the model
Distributional equivalences under different branching mechanisms
Abstract
We consider the genealogical tree of a stationary continuous state branching process with immigration. For a sub-critical stable branching mechanism, we consider the genealogical tree of the extant population at some fixed time and prove that, up to a deterministic time-change, it is distributed as a continuous-time Galton-Watson process with immigration. We obtain similar results for a critical stable branching mechanism when only looking at immigrants arriving in some fixed time-interval. For a general sub-critical branching mechanism, we consider the number of individuals that give descendants in the extant population. The associated processes (forward or backward in time) are pure-death or pure-birth Markov processes, for which we compute the transition rates.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Queuing Theory Analysis · Bayesian Methods and Mixture Models
