On a class of critical Markov branching processes with non-homogeneous Poisson immigration

The article studies a class of critical Markov branching processes with infinite variance of the offspring distribution. The processes admit also an immigration component at the jump-points of a non-homogeneous Poisson process, assuming that the mean number of immigrants is infinite and the intensity of the Poisson process converges to a constant. The asymptotic behavior of the probability for non-visiting zero is obtained. Proper limit distributions are proved, under suitable normalization of the sample paths, depending on the offspring distribution and the distribution of the immigrants.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28908709
Primary Topic
Stochastic processes and statistical mechanics
Type
article
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On a class of critical Markov branching processes with non-homogeneous Poisson immigration

Figshare
Stochastic processes and statistical mechanics
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On a class of critical Markov branching processes with non-homogeneous Poisson immigration

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Abstract

The article studies a class of critical Markov branching processes with infinite variance of the offspring distribution. The processes admit also an immigration component at the jump-points of a non-homogeneous Poisson process, assuming that the mean number of immigrants is infinite and the intensity of the Poisson process converges to a constant. The asymptotic behavior of the probability for non-visiting zero is obtained. Proper limit distributions are proved, under suitable normalization of the sample paths, depending on the offspring distribution and the distribution of the immigrants.

Figshare
Reduced inequalities
Openalex Percentile: Top 53%
Stochastic processes and statistical mechanics
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On a class of critical Markov branching processes with non-homogeneous Poisson immigration · Figshare (2025) | TGRS Research Map | TGRS