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Probability theory and mathematical statistics
On functional limit theorems for branching processes with dependent immigration
S. O. Sharipov V.I. Romanovskiy Institute of Mathematics, 4b, University street, 100174, Tashkent, Uzbekistan
Abstract:
In this paper we consider a triangular array of branching processes with non-stationary immigration. We prove a weak convergence of properly normalized branching processes with immigration to deter-ministic function under assumptions that immigration satisfies some mixing conditions, the offspring mean tends to its critical value 1 and immigration mean and variance controlled by regularly varying functions. Moreover, we obtain a fluctuation limit theorem for branching process with immig-ration when immigration generated by a sequence of $m$-dependent random variables. In this case the limiting process is a time-changed Wiener process. Our results extend the previous known results in the literature.
Keywords:
Branching process, immigration, regularly varying functions, $m$-dependence, $\rho$-mixing, functional limit theorems.
Received November 28, 2022, published October 20, 2023
Citation:
S. O. Sharipov, “On functional limit theorems for branching processes with dependent immigration”, Sib. Èlektron. Mat. Izv., 20:2 (2023), 755–772
Linking options:
https://www.mathnet.ru/eng/semr1607 https://www.mathnet.ru/eng/semr/v20/i2/p755
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Abstract page: | 45 | Full-text PDF : | 30 | References: | 17 |
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