Author:
Barbour A. D.,Pakes Anthony G.
Abstract
This paper presents some limit theorems for the simple branching process allowing immigration, {Xn}, when the offspring mean is infinite. It is shown that there exists a function U such that {e–nU/(Xn)} converges almost surely, and if s = ∑ bj, log+U(j) < ∞, where {bj} is the immigration distribution, the limit is non-defective and non-degenerate but is infinite if s = ∞.When s = ∞, limit theorems are found for {U(Xn)} which involve a slowly varying non-linear norming.
Publisher
Cambridge University Press (CUP)
Subject
Applied Mathematics,Statistics and Probability
Cited by
13 articles.
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1. Limit theorems for continuous-state branching processes with immigration;Advances in Applied Probability;2022-06
2. Immigration‐Emigration Processes;Wiley StatsRef: Statistics Reference Online;2014-09-29
3. Bibliography;Introduction to Stochastic Models;2013-04-23
4. Asymptotic Properties of the Markov Branching Process with Immigration;Journal of Theoretical Probability;2010-07-27
5. Immigration-Emigration Processes;Encyclopedia of Statistical Sciences;2006-08-15