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We consider two finite population Markov chain models, the two-island Wright-Fisher model with mutation, and the seed-bank model with mutation. Despite the relatively simple descriptions of the two processes, the the exact form of their…

Probability · Mathematics 2024-05-30 Han L. Gan , Maite Wilke-Berenguer

We consider the genealogical tree of a stationary continuous state branching process with immigration. For a sub-critical stable branching mechanism, we consider the genealogical tree of the extant population at some fixed time and prove…

Probability · Mathematics 2020-05-21 Romain Abraham , Jean-François Delmas , Hui He

We consider a stochastic model describing a constant size $N$ population that may be seen as a directed polymer in random medium with $N$ sites in the transverse direction. The population dynamics is governed by a noisy traveling wave…

Probability · Mathematics 2016-06-07 Aser Cortines

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 study two types of stochastic processes, a mean-field spatial system of interacting Fisher-Wright diffusions with an inferior and an advantageous type with rare mutation (inferior to advantageous) and a (mean-field) spatial system of…

Probability · Mathematics 2010-08-02 Donald A. Dawson , Andreas Greven

For supercritical multitype branching processes in continuous time, we investigate the evolution of types along those lineages that survive up to some time t. We establish almost-sure convergence theorems for both time and population…

Probability · Mathematics 2007-05-23 Hans-Otto Georgii , Ellen Baake

In this paper we present a novel methodology to perform Bayesian model selection in linear models with heavy-tailed distributions. We consider a finite mixture of distributions to model a latent variable where each component of the mixture…

Methodology · Statistics 2017-08-21 Flávio B Gonçalves , Marcos O. Prates , Victor H. Lachos

In plasmas, distribution functions often demonstrate long anisotropic tails or otherwise significant deviations from local Maxwellians. The tails, especially if they are pulled out from the bulk, pose a serious challenge for numerical…

Plasma Physics · Physics 2018-04-17 Eero Hirvijoki

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

The paper deals with a new class of random walks strictly connected with the Pareto distribution. We consider stochastic processes in the sense of generalized convolution or weak generalized convolution following the idea given in [1]. The…

Probability · Mathematics 2014-12-02 Barbara H. Jasiulis-Gołdyn

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

Understanding patterns of selectively neutral genetic variation is essential in order to model deviations from neutrality, caused for example by different forms of selection. Best understood is neutral genetic variation at a single locus,…

Populations and Evolution · Quantitative Biology 2012-06-13 E. Schaper , A. Eriksson , M. Rafajlovic , S. Sagitov , B. Mehlig

We study the large scale behaviour of a population consisting of two types which evolve in dimension d = 1, 2 according to a spatial Lambda- Fleming-Viot process subject to random time-independent selection. If one of the two types is rare…

Probability · Mathematics 2021-11-30 Aleksander Klimek , Tommaso Cornelis Rosati

In this paper we define the class of matrix Mittag-Leffler distributions and study some of its properties. We show that it can be interpreted as a particular case of an inhomogeneous phase-type distribution with random scaling factor, and…

Statistics Theory · Mathematics 2020-04-28 Hansjoerg Albrecher , Martin Bladt , Mogens Bladt

A procedure is described for estimating evolutionary rate matrices from observed site frequency data. The procedure assumes (1) that the data are obtained from a constant size population evolving according to a stationary Wright-Fisher…

Populations and Evolution · Quantitative Biology 2016-07-18 Conrad J. Burden , Yurong Tang

We study a generalization of the Wright--Fisher model in which some individuals adopt a behavior that is harmful to others without any direct advantage for themselves. This model is motivated by studies of spiteful behavior in nature,…

Probability · Mathematics 2015-03-18 Ludovic Goudenège , Pierre-André Zitt

Representations of population models in terms of countable systems of particles are constructed, in which each particle has a `type', typically recording both spatial position and genetic type, and a level. For finite intensity models, the…

Probability · Mathematics 2018-06-05 Alison M. Etheridge , Thomas G. Kurtz

We establish a variety of properties of the discrete time simple random walk on a Galton-Watson tree conditioned to survive when the offspring distribution, $Z$ say, is in the domain of attraction of a stable law with index…

Probability · Mathematics 2012-10-24 David A. Croydon , Takashi Kumagai

This paper investigates the long-term behavior of a class of $\Lambda$-Wright--Fisher processes incorporating frequency-dependent selection, coordinated (bidirectional) selection, as well as individual and coordinated mutation. Our primary…

Probability · Mathematics 2024-12-23 Fernando Cordero , Sebastian Hummel , Grégoire Véchambre

The Wright-Fisher model, originating in Wright (1931) is one of the canonical probabilistic models used in mathematical population genetics to study how genetic type frequencies evolve in time. In this paper we bound the rate of convergence…

Probability · Mathematics 2023-12-19 Anton Braverman , Han L. Gan