On Estimation of the Convergence Rate to Invariant Measures in Markov Branching Processes with Possibly Infinite Variance and Allowing Immigration

DOI10.17516/1997-1397-2021-14-5-573-583zbMath1492.60239OpenAlexW4205163502MaRDI QIDQ5071388

Azam A. Imomov

Publication date: 21 April 2022

Published in: Journal of Siberian Federal University. Mathematics & Physics (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/jsfu942

zbMATH Keywords

generating functionsinvariant measuresconvergence rateimmigrationMarkov branching processslowly varying functiontransition functions

Mathematics Subject Classification ID

Population dynamics (general) (92D25) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Revisiting conditional limit theorems for the mortal simple branching process
• Asymptotic properties of the Markov branching process with immigration
• On a Markov analogue of continuous-time Q-processes
• On asymptotic structure of continuous-time Markov branching processes allowing immigration without higher-order moments
• Regularly varying functions

This page was built for publication: On Estimation of the Convergence Rate to Invariant Measures in Markov Branching Processes with Possibly Infinite Variance and Allowing Immigration