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Let $\Lambda$ be a finite measure on the unit interval. A $\Lambda$-Fleming-Viot process is a probability measure valued Markov process which is dual to a coalescent with multiple collisions ($\Lambda$-coalescent) in analogy to the duality…

Probability · Mathematics 2008-10-27 Matthias Birkner , Jochen Blath , Martin Moehle , Matthias Steinruecken , Johanna Tams

A generalized stepping stone model with $\Xi$-resampling mechanism is a two dimensional probability-measure-valued stochastic process whose moment dual is similar to that of the classical stepping stone model except that Kingman's…

Probability · Mathematics 2021-02-05 Huili Liu , Xiaowen Zhou

Reversibility of the Fleming-Viot process with mutation, selection, and recombination is well understood. In this paper, we study the reversibility of a system of Fleming-Viot processes that live on a countable number of colonies…

Probability · Mathematics 2008-03-12 Shui Feng , Byron Schmuland , Jean Vaillancourt , Xiaowen Zhou

For a probability-measure-valued neutral Fleming-Viot process $Z_t$ with L\'evy mutation and resampling mechanism associated to a general $\Lambda$-coalescent with multiple collisions, we prove the instantaneous propagation of supports.…

Probability · Mathematics 2022-03-07 Thomas Hughes , Xiaowen Zhou

Reversible measures of the Fleming-Viot process are shown to be characterized as quasi-invariant measures with a cocycle given in terms of the mutation operator. As applications, we give certain integral characterization of…

Probability · Mathematics 2016-09-07 Kenji Handa

The generalized Fleming-Viot processes were defined in 1999 by Donnelly and Kurtz using a particle model and by Bertoin and Le Gall in 2003 using stochastic flows of bridges. In both methods, the key argument used to characterize these…

Probability · Mathematics 2012-06-06 Clément Foucart

If $\mathbf Y$ is a standard Fleming-Viot process with constant mutation rate (in the infinitely many sites model) then it is well known that for each $t>0$ the measure $\mathbf Y_t$ is purely atomic with infinitely many atoms. However,…

Probability · Mathematics 2013-04-05 Julien Berestycki , Leif Doering , Leonid Mytnik , Lorenzo Zambotti

We prove several limit theorems that relate coalescent processes to continuous-state branching processes. Some of these theorems are stated in terms of the so-called generalized Fleming-Viot processes, which describe the evolution of a…

Probability · Mathematics 2007-05-23 Jean Bertoin , Jean-François Le Gall

The d-dimensional Lambda-Fleming-Viot generator acting on functions g(x), with x being a vector of d allele frequencies, can be written as a Wright-Fisher generator acting on functions g with a modified random linear argument of x induced…

Probability · Mathematics 2014-03-18 Robert C Griffiths

Coalescents with multiple collisions (also called Lambda-coalescents or simple exchangeable coalescents) are used as models of genealogies. We study a new class of Markovian coalescent processes connected to a population model with…

Probability · Mathematics 2011-03-02 Clément Foucart

We consider the tree-valued Fleming-Viot process, $(\mathcal X_t)_{t\geq 0}$, with mutation and selection as studied in Depperschmidt, Greven, Pfaffelhuber (2012). This process models the stochastic evolution of the genealogies and…

Probability · Mathematics 2013-05-31 Andrej Depperschmidt , Andreas Greven , Peter Pfaffelhuber

The star-shaped $\Lambda$-coalescent and corresponding $\Lambda$-Fleming-Viot process where the $\Lambda$ measure has a single atom at unity are studied in this paper. The transition functions and stationary distribution of the…

Probability · Mathematics 2016-05-10 Robert Griffiths , Shuhei Mano

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

This article presents a variant of Fleming-Viot particle systems, which are a standard way to approximate the law of a Markov process with killing as well as related quantities. Classical Fleming-Viot particle systems proceed by simulating…

Probability · Mathematics 2019-11-14 Frédéric Cérou , Arnaud Guyader , Mathias Rousset

This paper provides a construction of a Fleming--Viot measure valued diffusion process, for which the transition function is known, by extending recent ideas of the Gibbs sampler based Markov processes. In particular, we concentrate on the…

Probability · Mathematics 2007-05-23 Stephen G. Walker , Spyridon J. Hatjispyros , Theodoros Nicoleris

We study the long-time convergence of a Fleming-Viot process, in the case where the underlying process is a metastable diffusion killed when it reaches some level set. Through a coupling argument, we establish the long-time convergence of…

Probability · Mathematics 2024-11-22 Lucas Journel , Pierre Monmarché

Kingman derived the Ewens sampling formula for random partitions from the genealogy model defined by a Poisson process of mutations along lines of descent governed by a simple coalescent process. M\"ohle described the recursion which…

Probability · Mathematics 2007-07-12 Rui Dong

Kingman derived the Ewens sampling formula for random partitions describing the genetic variation in a neutral mutation model defined by a Poisson process of mutations along lines of descent governed by a simple coalescent process, and…

Probability · Mathematics 2007-05-23 Rui Dong , Alexander Gnedin , Jim Pitman

In this paper we present multivariate space-time fractional Poisson processes by considering common random time-changes of a (finite-dimensional) vector of independent classical (non-fractional) Poisson processes. In some cases we also…

Probability · Mathematics 2015-07-22 Luisa Beghin , Claudio Macci

We give a de Finetti type representation for exchangeable random coalescent trees (formally described as semi-ultrametrics) in terms of sampling iid sequences from marked metric measure spaces. We apply this representation to define…

Probability · Mathematics 2017-12-29 Stephan Gufler
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