Markov Branching Process with Infinite Variance and Poisson Immigration with Decreasing Intensity

Authors

  • Kosto V. Mitov Medical University – Pleven, Bulgaria
  • Nikolay M. Yanev Bulgarian Academy of Sciences

DOI:

https://doi.org/10.7546/CRABS.2026.02.03

Keywords:

Markov branching process, limit theorems, infinite variance, non-homogeneous immigration

Abstract

We consider critical Markov branching processes with infinite variance of the offspring distribution which admit an immigration 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 zero. The probability for non-hitting zero is asymptotically investigated and limiting distributions are obtained, under suitable normalization.

Author Biographies

Kosto V. Mitov, Medical University – Pleven, Bulgaria

Mailing Address:
Faculty of Pharmacy
Medical University – Pleven
1 St. Kliment Ohridski St
5800 Pleven, Bulgaria

E-mail: kmitov@yahoo.com

Nikolay M. Yanev, Bulgarian Academy of Sciences

Mailing Address:
Institute of Mathematics and Informatics
Bulgarian Academy of Sciences
Akad. G. Bonchev St, Bl. 8,
1113 Sofia, Bulgaria

E-mail: yanev@math.bas.bg

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Published

26-02-2026

How to Cite

[1]
K. Mitov and N. Yanev, “Markov Branching Process with Infinite Variance and Poisson Immigration with Decreasing Intensity”, C. R. Acad. Bulg. Sci., vol. 79, no. 2, pp. 175–182, Feb. 2026.

Issue

Section

Mathematics