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Branching processes model the evolution of populations of agents that randomly generate offsprings. These processes, more patently Galton-Watson processes, are widely used to model biological, social, cognitive, and technological phenomena,…

Applications · Statistics 2013-02-26 Fabricio Murai , Bruno Ribeiro , Don Towsley , Krista Gile

This paper deals with branching processes in varying environment, namely, whose offspring distributions depend on the generations. We provide sufficient conditions for survival or extinction which rely only on the first and second moments…

Probability · Mathematics 2017-09-29 Daniela Bertacchi , Pablo M. Rodriguez , Fabio Zucca

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

In this paper, we study the Galton-Watson process in the random environment for the particular case when the number of the offsprings in each generation has the fractional linear generation function with random parameters. In this case, the…

Probability · Mathematics 2020-12-01 Dan Han , Stanislav Molchanov , Yanjmaa Jutmaan

In this article, we focus on Bienaym\'e-Galton-Watson processes with linear-fractional offspring distributions. At a fixed generation, we consider a sample of the individuals alive, drawn in two different ways: either through Bernoulli…

Probability · Mathematics 2025-06-24 Natalia Cardona-Tobón , Sandra Palau

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

The Galton-Watson process is a model for population growth which assumes that individuals reproduce independently according to the same offspring distribution. Inference usually focuses on the offspring average as it allows to classify the…

Methodology · Statistics 2025-06-27 Massimo Cannas , Michele Guindani , Nicola Piras

This article is an essay, both expository and argumentative, on the Galton-Watson process as a tool in the domain of Branching Processes. It is at the same time the author's ways to honour two distinguished scientists in this domain, both…

Probability · Mathematics 2021-12-20 F. Thomas Bruss

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

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

Janardan (1980) introduces a class of offspring distributions that sandwich between Bernoulli and Poisson. This paper extends the Janardan Galton Watson (JGW) branching process as a model of stock prices. In this article, the return value…

Applications · Statistics 2022-08-19 Ali Saeb

The linear-fractional Galton-Watson processes is a well known case when many characteristics of a branching process can be computed explicitly. In this paper we extend the two-parameter linear-fractional family to a much richer…

Probability · Mathematics 2015-12-11 Serik Sagitov , Alexey Lindo

The Galton-Watson process is a Markov chain modeling the population size of independently reproducing particles giving birth to $k$ offspring with probability $p_k$, $k\ge0$. In this paper we consider {\it defective} Galton-Watson processes…

Probability · Mathematics 2016-12-13 Serik Sagitov , Carmen Minuesa

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

The Galton--Watson process is the simplest example of a branching process. The relationship between the offspring distribution, and, when the extinction occurs almost surely, the distribution of the total progeny is well known. In this…

Probability · Mathematics 2017-04-10 Claudio Macci , Barbara Pacchiarotti

We consider a multitype Galton-Watson process that allows for the mutation and reversion of individual types in discrete and continuous time. In this setting, we explicitly compute the time evolution of quantities such as the mean and…

Populations and Evolution · Quantitative Biology 2026-01-01 Qiao Huang , Nicolas Privault

Reinforced Galton--Watson processes describe the dynamics of a population where reproduction events are reinforced, in the sense that offspring numbers of forebears can be repeated randomly by descendants. More specifically, the evolution…

Probability · Mathematics 2025-02-24 Jean Bertoin , Bastien Mallein

We study an extension of the so-called defective Galton-Watson processes obtained by allowing the offspring distribution to change over the generations. Thus, in these processes, the individuals reproduce independently of the others and in…

Probability · Mathematics 2021-10-01 Götz Kersting , Carmen Minuesa

In this survey, we explore the connections between two areas of probability: percolation theory and population genetic models. Our first goal is to highlight a construction on Galton-Watson trees, which has been described in two different…

Probability · Mathematics 2025-01-23 Airam Blancas , María Clara Fittipaldi , Saraí Hernández-Torres

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
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