Berry-Esseen's bound and Cram\'er's large deviation expansion for a supercritical branching process in a random environment
Ion Grama, Quansheng Liu, Eric Miqueu

TL;DR
This paper develops probabilistic bounds and large deviation estimates for the logarithm of a supercritical branching process in a random environment, enhancing understanding of its probabilistic behavior.
Contribution
It introduces new Berry-Esseen bounds and Cramér-type large deviation expansions for the process, and improves existing results on harmonic moments of the limiting variable.
Findings
Established a Berry-Esseen bound for log Z_n.
Derived a Cramér's large deviation expansion for log Z_n.
Improved results on harmonic moments of the limit variable W.
Abstract
Let be a supercritical branching process in a random environment . We establish a Berry-Esseen bound and a Cram\'er's type large deviation expansion for under the annealed law . We also improve some earlier results about the harmonic moments of the limit variable , where is the normalized population size.
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 · Markov Chains and Monte Carlo Methods · Bayesian Methods and Mixture Models
