Additional aspects of the generalized linear-fractional branching process
Nicolas Grosjean, Thierry Huillet

TL;DR
This paper extends the analysis of the generalized linear-fractional branching process, providing explicit limit laws, long-term behavior, and transition probabilities, thereby deepening understanding of its probabilistic properties.
Contribution
It offers new explicit formulas and results for the heta-linear fractional branching process, including limit laws, transition matrices, and behavior in critical and super-critical regimes.
Findings
Explicit limit laws for sub-critical and super-critical cases
Long-term population behavior in the critical case
Transition matrix and its powers computed explicitly
Abstract
We derive some additional results on the Bienyam\'e-Galton-Watson branching process with linear fractional branching mechanism, as studied in \cite{Sag}. This includes: the explicit expression of the limit laws in both the sub-critical cases and the super-critical cases with finite mean, the long-run behavior of the population size in the critical case, limit laws in the super-critical cases with infinite mean when the -process is either regular or explosive, results regarding the time to absorption, an expression of the probability law of the -branching mechanism involving Bell polynomials, the explicit computation of the stochastic transition matrix of the process, together with its powers.
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.
