Central Limit Theorems for Supercritical Branching Markov Processes
Y.-X. Ren, R. Song, R. Zhang

TL;DR
This paper proves spatial central limit theorems for a broad class of supercritical branching Markov processes, extending previous results to more general mechanisms and ensuring non-degenerate normal limits.
Contribution
It generalizes existing spatial CLTs for branching processes to include more complex spatial-dependent mechanisms with non-degenerate limits.
Findings
Established spatial CLTs for supercritical branching Markov processes
Extended previous results to more general spatial-dependent mechanisms
Normal limits are non-degenerate in the new theorems
Abstract
In this paper we establish spatial central limit theorems for a large class of supercritical branching Markov processes with general spatial-dependent branching mechanisms. These are generalizations of the spatial central limit theorems proved in [1], P. for branching OU processes with binary branching mechanisms. Compared with the results of [1], our central limit theorems are more satisfactory in the sense that the normal random variables in our theorems are non-degenerate.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Markov Chains and Monte Carlo Methods
