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We investigate subcritical Galton-Watson branching processes with immigration in a random environment. Using Goldie's implicit renewal theory we show that under general Cram\'er condition the stationary distribution has a power law tail. We…

Probability · Mathematics 2020-02-04 Bojan Basrak , Peter Kevei

We first prove some general results on pathwise uniqueness, comparison property and existence of nonnegative strong solutions of stochastic equations driven by white noises and Poisson random measures. The results are then used to prove the…

Probability · Mathematics 2012-04-12 Donald A. Dawson , Zenghu Li

We consider a continuous-time symmetric branching random walk on multidimensional lattices with immigration and infinite number of initial particles. We assume that at every lattice point a process of birth and death of particles is…

Probability · Mathematics 2020-02-11 Yu. Makarova , D. Han , S. Molchanov , E. Yarovaya

The paper 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…

Probability · Mathematics 2025-01-07 Kosto V. Mitov , Nikolay M. Yanev

We consider a supercritical Galton-Watson branching process with immigration. It is well known that under suitable conditions on the offspring and immigration distributions, there is a finite, strictly positive limit ${\mathcal{W}}$ for the…

Probability · Mathematics 2014-02-06 Weijuan Chu , Wenbo V. Li , Yan-Xia Ren

We study the estimation of a stable Cox-Ingersoll-Ross model, which is a special subcritical continuous-state branching process with immigration. The process is characterized in terms of some stochastic equations. The exponential ergodicity…

Probability · Mathematics 2013-01-16 Zenghu Li , Chunhua Ma

A family of continuous-state branching processes with immigration are constructed as the solution flow of a stochastic equation system driven by time-space noises. The family can be regarded as an inhomogeneous increasing path-valued…

Probability · Mathematics 2014-01-14 Zenghu Li

We derive an expression for the joint distribution function of the first jump times of a continuous state and continuous time branching process with immigration (CBI process) with jump sizes in given Borel sets having finite total L\'evy…

Probability · Mathematics 2025-12-05 Matyas Barczy , Sandra Palau , Yao Xue

The aim of this paper is to introduce a multitype branching process with random migration following the research initiated with the Galton-Watson process with migration introduced in [Yanev & Mitov (1980) C. R. Acad. Bulg. Sci.…

Probability · Mathematics 2024-09-10 Miguel González , Pedro Martín-Chávez , Inés del Puerto

The boundary behavior of continuous-state branching processes with quadratic competition is studied in whole generality. We first observe that despite competition, explosion can occur for certain branching mechanisms. We obtain a necessary…

Probability · Mathematics 2018-09-27 Clément Foucart

We study the distributional properties of jumps of multi-type continuous state and continuous time branching processes with immigration (multi-type CBI processes). We derive an expression for the distribution function of the first jump time…

Probability · Mathematics 2024-05-13 Matyas Barczy , Sandra Palau

A two-type continuous-state branching process in varying environments is constructed as the pathwise unique solution of a system of stochastic equations driven by time-space noises, where the pathwise uniqueness is derived from a comparison…

Probability · Mathematics 2025-02-07 Zenghu Li , Junyan Zhang

This survey aims at collecting and presenting results for one-type, discrete time branching processes with random control functions. In particular, the subclass of critical migration processes with different regimes of immigration and…

Probability · Mathematics 2014-11-25 George P. Yanev

Branching processes are a class of continuous-time Markov chains (CTMCs) with ubiquitous applications. A general difficulty in statistical inference under partially observed CTMC models arises in computing transition probabilities when the…

Computation · Statistics 2015-03-10 Jason Xu , Vladimir N. Minin

The paper 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…

Probability · Mathematics 2025-01-08 Kosto V. Mitov , Nikolay M. Yanev

In this paper the asymptotic behavior of the conditional least squares estimators of the offspring mean matrix for a 2-type critical positively regular Galton-Watson branching process with immigration is described.We also study this…

Statistics Theory · Mathematics 2016-05-10 Kristóf Körmendi , Gyula Pap

The paper has four goals. First, we want to generalize the classical concept of the branching property so that it becomes applicable for historical and genealogical processes (using the coding of genealogies by ($V$-marked) ultrametric…

Probability · Mathematics 2020-05-06 Andreas Greven , Thomas Rippl , Patric Karl Glöde

We define the height process for super-critical continuous state branching processes with quadratic branching mechanism. It appears as a projective limit of Brownian motions with positive drift reflected at 0 and a>0 as a goes to infinity.…

Probability · Mathematics 2007-05-23 Jean-François Delmas

We compute exact values respectively bounds of "distances" - in the sense of (transforms of) power divergences and relative entropy - between two discrete-time Galton-Watson branching processes with immigration GWI for which the offspring…

Probability · Mathematics 2022-10-21 Niels B. Kammerer , Wolfgang Stummer

We study an iterated temporal and contemporaneous aggregation of $N$ independent copies of a strongly stationary subcritical Galton-Watson branching process with regularly varying immigration having index $\alpha \in (0, 2)$. Limits of…

Probability · Mathematics 2020-12-09 Matyas Barczy , Fanni K. Nedényi , Gyula Pap