On asymptotic structure of continuous-time Markov Branching Processes allowing Immigration and without high-order moments
Azam A. Imomov, Abror Kh.Meyliev

TL;DR
This paper investigates the long-term behavior of continuous-time Markov Branching Processes with immigration, focusing on cases lacking high-order moments and using advanced mathematical tools to analyze their convergence properties.
Contribution
It introduces new limit theorems for these processes using regularly varying generating functions, expanding understanding of their asymptotic structure without requiring high-order moments.
Findings
Transition functions converge to invariant measures
Limit properties are characterized using regularly varying functions
Results apply to processes without high-order moments
Abstract
We observe the continuous-time Markov Branching Process without high-order moments and allowing Immigration. Limit properties of transition functions and their convergence to invariant measures are investigated. Main mathematical tool is regularly varying generating functions with remainder.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Probability and Risk Models
