English
Related papers

Related papers: Extinction probabilities of branching processes wi…

200 papers

We study the long-term behavior of weighted multi-type branching processes, focusing on extending classical laws of large numbers and martingale convergence to settings with infinitely many weighted particles, arbitrary type spaces and…

Probability · Mathematics 2025-12-09 Denis Villemonais , Nicolas Zalduendo

We study asymptotic properties of supercritical Galton-Watson (GW) branching processes in the asymptotic where the mean of the offspring distribution approaches 1 from above. We show that the population-size distribution of the GW branching…

Probability · Mathematics 2026-03-05 Kyoya Uemura , Tomoyuki Obuch , Toshiyuki Tanaka

Population genetic processes, such as the adaptation of a quantitative trait to directional selection, may occur on longer time scales than the sweep of a single advantageous mutation. To study such processes in finite populations,…

Probability · Mathematics 2026-03-10 Reinhard Bürger

Branching processes in a random environment are natural generalisations of Galton-Watson processes. In this paper we analyse the asymptotic decay of the survival probability for a sequence of slightly supercritical branching processes in an…

Probability · Mathematics 2024-12-23 Florin Boenkost , Götz Kersting

It is well known that a simple, supercritical Bienaym\'e-Galton-Watson process turns into a subcritical such process, if conditioned to die out. We prove that the corresponding holds true for general, multi-type branching, where…

Probability · Mathematics 2007-12-13 Peter Jagers , Andreas Nordvall Lagerås

We give a criterion for unlimited growth with positive probability for a large class of multidimensional stochastic models. As a by-product, we recover the necessary and sufficient conditions for recurrence and transience for critical…

Probability · Mathematics 2016-04-08 Etienne Adam

The simple Galton--Watson process describes populations where individuals live one season and are then replaced by a random number of children. It can also be viewed as a way of generating random trees, each vertex being an individual of…

Statistics Theory · Mathematics 2008-11-17 Peter Jagers , Serik Sagitov

We study a model of growing population that competes for resources. At each time step, all existing particles reproduce and the offspring randomly move to neighboring sites. Then at any site with more than one offspring, the particles are…

Probability · Mathematics 2015-10-26 Idan Perl , Arnab Sen , Ariel Yadin

The family tree of a Galton-Watson branching process may contain N-ary subtrees, i.e. subtrees whose vertices have at least N>0 children. For family trees without infinite N-ary subtrees, we study how fast N-ary subtrees of height t…

Probability · Mathematics 2008-03-04 Ljuben Mutafchiev

We provide a simple set of sufficient conditions for the weak convergence of discrete Galton-Watson branching processes with immigration to continuous time and continuous state branching processes with immigration.

Probability · Mathematics 2007-05-23 Zenghu Li

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 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

Consider two-type linear-fractional branching processes in varying environments with asymptotically constant mean matrices. Let $\nu$ be the extinction time. Under certain conditions, we show that both $P(\nu=n)$ and $P(\nu>n)$ are…

Probability · Mathematics 2021-04-02 Hua-Ming Wang , Huizi Yao

In this paper, we consider a critical Galton-Watson branching process with immigration stopped at zero $\mathbf{W}$. Some precise estimation on the generation function of the $n$-th population are obtained, and the tail probability of the…

Probability · Mathematics 2021-11-09 Doudou Li , Mei Zhang , Xianyu Zhang

A discrete time branching process where the offspring distribution is generation-dependent, and the number of reproductive individuals is controlled by a random mechanism is considered. This model is a Markov chain but, in general, the…

Probability · Mathematics 2024-01-30 Miguel González , Carmen Minuesa , Manuel Mota , Inés del Puerto , Alfonso Ramos

In this paper, we establish the necessary and sufficient criterion for the contact process on Galton-Watson trees (resp. random graphs) to exhibit the phase of extinction (resp. short survival). We prove that the survival threshold…

Probability · Mathematics 2020-01-22 Shankar Bhamidi , Danny Nam , Oanh Nguyen , Allan Sly

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

We consider the time evolution of the supercritical Galton-Watson model of branching particles with extra parameter (mass). In the moment of the division the mass of the particle (which is growing linearly after the birth) is divided in…

Probability · Mathematics 2018-08-20 Gregory Derfel , Yaqin Feng , Stanislav Molchanov

We study a generalized discrete-time multi-type Wright-Fisher population process. The mean-field dynamics of the stochastic process is induced by a general replicator difference equation. We prove several results regarding the asymptotic…

Probability · Mathematics 2019-12-06 Alexander Roitershtein , Reza Rastegar , Robert S. Chapkin , Ivan Ivanov

Birth-and-death processes are widely used to model the development of biological populations. Although they are relatively simple models, their parameters can be challenging to estimate, because the likelihood can become numerically…

Statistics Theory · Mathematics 2020-10-26 Anthony C. Davison , Sophie Hautphenne , Andrea Kraus