Asymptotic behavior for supercritical branching processes

Juan Wang, Xueke Wang and Junping Li

Statistics & Probability Letters, 2023, vol. 195, issue C

Abstract: Let {Z(t);t⩾0} be a Markov branching process (MBP). There exists a well-known sequence {C(t);t⩾0} such that W(t)≔Z(t)/C(t) a.s. converges to a non-degenerate random variable W as t→∞. This paper attempts to study the asymptotic behavior of P(Z(t)=kt) and P(0⩽Z(t)⩽kt) with kte−λt→0 as t→∞ for MBPs, which helps to study large deviations of Z(t+s)/Z(t). Moreover, we obtain the local limit theorem of this process as an additional finding. During the argumentation, the Cramér method is applied to analyze the large deviation of the sum of random variables.

Keywords: Markov branching processes; Asymptotic behavior; Cramér method; Functional equation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.spl.2023.109782

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