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We consider a branching model in discrete time where each individual has a trait in some general state space. Both the reproduction law and the trait inherited by the offsprings may depend on the trait of the mother and the environment. We…

Probability · Mathematics 2013-11-26 Vincent Bansaye

We are interested in nodes with fixed outdegrees in large conditioned Galton--Watson trees. We first study the scaling limits of processes coding the evolution of the number of such nodes in different explorations of the tree…

Probability · Mathematics 2020-02-27 Paul Thévenin

A recursive function on a tree is a function in which each leaf has a given value, and each internal node has a value equal to a function of the number of children, the values of the children, and possibly an explicitly specified random…

Probability · Mathematics 2020-03-24 Nicolas Broutin , Luc Devroye , Nicolas Fraiman

A multi-type branching process is defined as a random tree with labeled vertices, where each vertex produces offspring independently according to the same multivariate probability distribution. We demonstrate that in realizations of the…

Probability · Mathematics 2025-03-31 Jochem Hoogendijk , Ivan Kryven , Rik Versendaal

In a reinforced Galton-Watson process with reproduction law $\boldsymbol{\nu}$ and memory parameter $q\in(0,1)$, the number of children of a typical individual either, with probability $q$, repeats that of one of its forebears picked…

Probability · Mathematics 2023-10-31 Jean Bertoin , Bastien Mallein

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

We study the first passage times of discrete-time branching random walks in ${\mathbb R}^d$ where $d\geq 1$. Here, the genealogy of the particles follows a supercritical Galton-Watson process. We provide asymptotics of the first passage…

Probability · Mathematics 2026-01-06 Jose Blanchet , Wei Cai , Shaswat Mohanty , Zhenyuan Zhang

In branching process theory, linear-fractional distributions are commonly used to model individual reproduction, especially when the goal is to obtain more explicit formulas than those derived under general model assumptions. In this…

Probability · Mathematics 2025-04-07 Gerold Alsmeyer , Viet Hung Hoang

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

We present a new pruning procedure on discrete trees by adding marks on the nodes of trees. This procedure allows us to construct and study a tree-valued Markov process $\{{\cal G}(u)\}$ by pruning Galton-Watson trees and an analogous…

Probability · Mathematics 2012-06-28 Romain Abraham , Jean-Francois Delmas , Hui He

We investigate the range $\mathcal{R}_T$ of the diffusive biased walk $\mathbb{X}$ on a Galton-Watson tree $\mathbb{T}$ in random environment, that is to say the sub-tree of $\mathbb{T}$ of all distinct vertices visited by this walk up to…

Probability · Mathematics 2025-12-23 Alexis Kagan

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 multi-type Bienaym\'e-Galton-Watson processes with linear-fractional reproduction laws using various analytical tools like contour process, spinal representation, Perron-Frobenius theorem for countable matrices, renewal theory. For…

Probability · Mathematics 2012-12-14 Serik Sagitov

We consider a continuous-time Bienaym\'e-Galton-Watson process with logistic competition in a regime of weak competition, or equivalently of a large carrying capacity. Individuals reproduce at random times independently of each other but…

Probability · Mathematics 2025-01-29 Raphaël Forien

We continue our study of the distribution of the maximal number $X^{\ast}_k$ of offsprings amongst all individuals in a critical Galton-Watson process started with $k$ ancestors, treating the case when the reproduction law has a regularly…

Probability · Mathematics 2012-09-19 Jean Bertoin

In this article it is shown that the Brownian motion on the continuum random tree is the scaling limit of the simple random walks on any family of discrete $n$-vertex ordered graph trees whose search-depth functions converge to the Brownian…

Probability · Mathematics 2012-10-24 David Croydon

We consider stochastic dynamics of a population which starts from a small colony on a habitat with large but limited carrying capacity. A common heuristics suggests that such population grows initially as a Galton-Watson branching process…

Probability · Mathematics 2024-03-22 N. Bauman , P. Chigansky , F. Klebaner

Our motivation comes from the large population approximation of individual based models in population dynamics and population genetics. We propose a general method to investigate scaling limits of finite dimensional population size Markov…

Probability · Mathematics 2018-11-07 Vincent Bansaye , Maria-Emilia Caballero , Sylvie Méléard

We consider a (sub) critical Galton-Watson process with neutral mutations (infinite alleles model), and decompose the entire population into clusters of individuals carrying the same allele. We specify the law of this allelic partition in…

Probability · Mathematics 2009-08-28 Jean Bertoin

We consider a generalized Derrida-Retaux model on a Galton-Watson tree with a geometric offspring distribution. For a class of recursive systems, including the Derrida-Retaux model with either a geometric or exponential initial…

Probability · Mathematics 2026-04-10 Gerold Alsmeyer , Yueyun Hu , Bastien Mallein