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A Galton-Watson process in varying environment is a discrete time branching process where the offspring distributions vary among generations. Based on a two-spine decomposition technique, we provide a probabilistic argument of a Yaglom-type…

Probability · Mathematics 2020-10-16 Natalia Cardona-Tobón , Sandra Palau

We consider a Galton-Watson process $\mathbf{Z}% (n)=(Z_{1}(n),Z_{2}(n))$ with two types of particles. Particles of type 2 may produce offspring of both types while particles of type 1 may produce particles of their own type only. Let…

Probability · Mathematics 2015-08-28 Charline Smadi , Vladimir A. Vatutin

It is well known that a supercritical single-type Bienyam\'e-Galton-Watson process can be viewed as a decomposable branching process formed by two subtypes of particles: those having infinite line of descent and those who have finite number…

Probability · Mathematics 2012-11-21 Serik Sagitov , Altynay Shaimerdenova

We consider the extinction events of Galton-Watson processes with countably infinitely many types. In particular, we construct truncated and augmented Galton-Watson processes with finite but increasing sets of types. A pathwise approach is…

Probability · Mathematics 2017-12-15 Peter Braunsteins , Geoffrey Decrouez , Sophie Hautphenne

We present two iterative methods for computing the global and partial extinction probability vectors for Galton-Watson processes with countably infinitely many types. The probabilistic interpretation of these methods involves truncated…

Probability · Mathematics 2014-03-06 Sophie Hautphenne , Guy Latouche , Giang Nguyen

We study the evolution of the population size distribution of a critical Galton-Watson process with infinite variance of the offspring size of particles assuming that the population size is unusually small at the distant moment $n$ of…

Probability · Mathematics 2026-02-03 Vladimir Vatutin , Elena Dyakonova

We introduce a branching process in a sparse random environment as an intermediate model between a Galton--Watson process and a branching process in a random environment. In the critical case we investigate the survival probability and…

Probability · Mathematics 2023-06-13 Dariusz Buraczewski , Congzao Dong , Alexander Iksanov , Alexander Marynych

We study the asymptotics of the survival probability for the critical and decomposable branching processes in random environment and prove Yaglom type limit theorems for these processes. It is shown that such processes possess some…

Probability · Mathematics 2014-03-05 Vladimir Vatutin , Quansheng Liu

A properly scaled critical Galton-Watson process converges to a continuous state critical branching process $\xi(\cdot)$ as the number of initial individuals tends to infinity. We extend this classical result by allowing for overlapping…

Probability · Mathematics 2021-08-10 Serik Sagitov

We study the asymptotic behavior of small deviation probabilities for the critical Galton-Watson processes with infinite variance of the offspring sizes of particles and apply the obtained result to investigate the structure of a reduced…

Probability · Mathematics 2025-05-16 Vladimir Vatutin , Elena Dyakonova , Yakubdjan Khusanbaev

Conditioning a multitype Galton-Watson process to stay alive into the indefinite future leads to what is known as its associated $Q$-process. We show that the same holds true if the process is conditioned to reach a positive threshold or a…

Probability · Mathematics 2016-03-09 Sophie Pénisson

We observe the Galton-Watson Branching Processes. Limit properties of transition functions and their convergence to invariant measures are investigated.

Probability · Mathematics 2019-04-23 Azam A. Imomov , Erkin E. Tukhtaev

A Galton-Watson process in a varying environment is a discrete time branching process where the offspring distributions vary among generations. It is known that in the critical case, these processes have a Yaglom limit, that is, a suitable…

Probability · Mathematics 2024-10-03 Natalia Cardona-Tobón , Arturo Jaramillo , Sandra Palau

We consider a multi-type Galton-Watson branching processes, where the largest in magnitude positive eigenvalue $\rho$ of the first moments matrix is close to unity. Specifically, we examine the random vector representing the number of…

Probability · Mathematics 2024-07-24 T. B. Lysetskyi , Ya. I. Yeleiko

We consider one-dimensional branching Brownian motion in which particles are absorbed at the origin. We assume that when a particle branches, the offspring distribution is supercritical, but the particles are given a critical drift towards…

Probability · Mathematics 2021-07-23 Pascal Maillard , Jason Schweinsberg

Let $\left\{ Z(n),n\geq 1\right\} $ be a critical Galton-Watson branching process with finite variance for the offspring size of particles. Assuming that $0<Z(n)\leq \varphi (n)$, where either $\varphi (n)=an$ for some $a>0$ or $\varphi…

Probability · Mathematics 2018-01-11 Minzhi Liu , Vladimir Vatutin

We consider the critical Galton-Watson process with overlapping generations stemming from a single founder. Assuming that both the variance of the offspring number and the average generation length are finite, we establish the convergence…

Probability · Mathematics 2022-04-06 Serik Sagitov

We consider a subcritical Galton--Watson tree conditioned on having $n$ vertices with outdegree in a fixed set $\Omega$. Under mild regularity assumptions we prove various limits related to the maximal offspring of a vertex as $n$ tends to…

Probability · Mathematics 2021-02-24 Benedikt Stufler

Branching processes $(Z_n)_{n \ge 0}$ in a varying environment generalize the Galton-Watson process, in that they allow time-dependence of the offspring distribution. Our main results concern general criteria for a.s. extinction,…

Probability · Mathematics 2019-11-11 Götz Kersting

We consider a branching random walk initiated by a single particle at location 0 in which particles alternately reproduce according to the law of a Galton-Watson process and disperse according to the law of a driftless random walk on the…

Probability · Mathematics 2014-03-31 Steven P. Lalley , Yuan Shao
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