Population size of critical Galton-Watson processes under small deviations and infinite variance
Vladimir Vatutin, Elena Dyakonova

TL;DR
This paper investigates the behavior of critical Galton-Watson processes with infinite variance, focusing on the probability and characteristics of the population being unusually small at large time scales.
Contribution
It provides new insights into the distribution of population sizes under small deviations in processes with infinite variance offspring distributions.
Findings
Characterizes the asymptotic behavior of small deviations
Derives probability estimates for small population sizes
Extends understanding of critical processes with infinite variance
Abstract
We study the evolution of the population size distribution of a critical Galton-Watson process with infinite variance of the offspring size of particles assuming that the population size is unusually small at the distant moment of observation.
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 · Theoretical and Computational Physics · Random Matrices and Applications
