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Related papers: Stable continuous branching processes with immigra…

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We consider a branching process with Poissonian immigration where individuals have inheritable types. At rate theta, new individuals singly enter the total population and start a new population which evolves like a supercritical,…

Probability · Mathematics 2010-12-02 Mathieu Richard

The goal of this paper is to prove rigorous results for the behavior of genealogies in a one-dimensional long range biased voter model introduced by Hallatschek and Nelson [25]. The first step, which is easily accomplished using results of…

Probability · Mathematics 2021-01-12 Rick Durrett , Wai-Tong Louis Fan

Stochastic models that incorporate birth, death and immigration (also called birth-death and innovation models) are ubiquitous and applicable to many research topics such as quantifying species sizes in ecological populations, describing…

Populations and Evolution · Quantitative Biology 2026-05-12 Renaud Dessalles , Maria D'Orsogna , Tom Chou

This work provides a brief introduction to continuous-state branching processes (CB-processes) and continuous-state branching processes with immigration (CBI-processes) accessible to graduate students with reasonable background in…

Probability · Mathematics 2019-01-14 Zenghu Li

In this paper, we consider time-inhomogeneous branching processes and time-inhomogeneous birth-and-death processes, in which the offspring distribution and birth and death rates (respectively) vary in time. A classical result of branching…

Probability · Mathematics 2017-03-02 Nicholas Bhattacharya , Mark Perlman

Markov branching systems form a fundamental class of stochastic models that are extensively applied in biology, physics, finance, and other domains. These systems are distinguished by their continuous-time evolution and inherent branching…

Recruitment dynamics, or the distribution of the number of offspring among individuals, is central for understanding ecology and evolution. Sweepstakes reproduction (heavy right-tailed offspring number distribution) is central for…

Populations and Evolution · Quantitative Biology 2026-01-16 Bjarki Eldon

A general continuous-state branching processes in random environment (CBRE-process) is defined as the strong solution of a stochastic integral equation. The environment is determined by a L\'evy process with no jump less than $-1$. We give…

Probability · Mathematics 2016-01-20 Hui He , Zenghu Li , Wei Xu

We observe the continuous-time Markov Branching Process without high-order moments and allowing Immigration. Limit properties of transition functions and their convergence to invariant measures are investigated. Main mathematical tool is…

Probability · Mathematics 2020-06-18 Azam A. Imomov , Abror Kh. Meyliev

We derive a unified stochastic picture for the duality of a resampling-selection model with a branching-coalescing particle process (cf. http://www.ams.org/mathscinet-getitem?mr=MR2123250) and for the self-duality of Feller's branching…

Probability · Mathematics 2009-04-16 Roland Alkemper , Martin Hutzenthaler

We introduce a modified spatial $\Lambda$-Fleming-Viot process to model the ancestry of individuals in a population occupying a continuous spatial habitat divided into two areas by a sharp discontinuity of the dispersal rate and effective…

Probability · Mathematics 2023-06-14 Raphael Forien , Harald Ringbauer , Graham Coop

We consider the spatial Lambda-Fleming-Viot process model for frequencies of genetic types in a population living in R^d, in the special case in which there are just two types of individual, labelled 0 and 1. At time zero, everyone in the…

Probability · Mathematics 2011-11-28 N. Berestycki , A. M. Etheridge , A. Veber

Consider a system $X = ((x_\xi(t)), \xi \in \Omega_N)_{t \geq 0}$ of interacting Fleming-Viot diffusions with mutation and selection which is a strong Markov process with continuous paths and state space $(\CP(\I))^{\Omega_N}$, where $\I$…

Probability · Mathematics 2011-04-07 Donald A. Dawson , Andreas Greven

The current paper focuses on studying the impact of immigration with an infinite mean, driven by a discrete-stable compound Poisson process, when it is entering the branching environment with infinite variance of reproduction. Our goal is…

Probability · Mathematics 2025-04-01 Maroussia Slavtchova-Bojkova , Penka Mayster

By a random process with immigration at random times we mean a shot noise process with a random response function (response process) in which shots occur at arbitrary random times. The so defined random processes generalize random processes…

Probability · Mathematics 2020-05-06 Congzao Dong , Alexander Iksanov

We survey results on the description of stochastically evolving genealogies of populations and marked genealogies of multitype populations or spatial populations via tree-valued Markov processes on (marked) ultrametric measure spaces. In…

Probability · Mathematics 2018-09-21 Andrej Depperschmidt , Andreas Greven

We investigate the $\Lambda$-Seed-Bank-Wright-Fisher process, a model describing allele frequency dynamics in populations exhibiting both skewed offspring distributions and dormancy. By performing a change of measure, we condition this…

Consider a general branching process, a.k.a. Crump-Mode-Jagers process, generated by a perturbed random walk $\eta_1$, $\xi_1+\eta_2$, $\xi_1+\xi_2+\eta_3,\ldots$. Here, $(\xi_1,\eta_1)$, $(\xi_2, \eta_2),\ldots$ are independent identically…

Probability · Mathematics 2022-02-17 Alexander Iksanov , Alexander Marynych , Bohdan Rashytov

This paper studies the spatial coalescent on $\Z^2$. In our setting, the partition elements are located at the sites of $\Z^2$ and undergo local delayed coalescence and migration. That is, pairs of partition elements located at the same…

Probability · Mathematics 2009-10-07 Andreas Greven , Vlada Limic , Anita Winter

We introduce and study the dynamics of an \emph{immortal} critical branching process. In the classic, critical branching process, particles give birth to a single offspring or die at the same rates. Even though the average population is…

Probability · Mathematics 2021-06-22 P. L. Krapivsky , S. Redner