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We consider a model of a population in which individuals are sampled from different species. The Yule-Kingman nested coalescent describes the genealogy of the sample when each species merges with another randomly chosen species with a…

Probability · Mathematics 2023-12-20 Toni Gui

The goal of these lectures is to review some mathematical aspects of random tree models used in evolutionary biology to model gene trees or species trees. We start with stochastic models of tree shapes (finite trees without edge lengths),…

Probability · Mathematics 2017-08-30 Amaury Lambert

Phylodynamics seeks to estimate effective population size fluctuations from molecular sequences of individuals sampled from a population of interest. One way to accomplish this task formulates an observed sequence data likelihood exploiting…

This paper is concerned with exploring the microscopic basis for the discrete versions of the standard replicator equation and the adjusted replicator equation. To this end, we introduce frequency-dependent selection -- as a result of…

Populations and Evolution · Quantitative Biology 2021-02-19 Archan Mukhopadhyay , Sagar Chakraborty

Kingman's model describes the evolution of a one-locus haploid population of infinite size and discrete generations under the competition of selection and mutation. A random generalisation has been made in a previous paper which assumes all…

Probability · Mathematics 2020-12-01 Linglong Yuan

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

In mathematical population genetics, it is well known that one can represent the genealogy of a population by a tree, which indicates how the ancestral lines of individuals in the population coalesce as they are traced back in time. As the…

Probability · Mathematics 2014-02-20 Götz Kersting , Jason Schweinsberg , Anton Wakolbinger

The increasing availability of population-level allele frequency data across one or more related populations necessitates the development of methods that can efficiently estimate population genetics parameters, such as the strength of…

Computation · Statistics 2017-11-09 Jeffrey J. Gory , Radu Herbei , Laura S. Kubatko

Kingman's coalescent is a random tree that arises from classical population genetic models such as the Moran model. The individuals alive in these models correspond to the leaves in the tree and the following two laws of large numbers…

Probability · Mathematics 2014-06-24 Andrej Depperschmidt , Peter Pfaffelhuber , Annika Scheuringer

We introduce a general diploid population model with self-fertilization and possible overlapping generations, and study the genealogy of a sample of $n$ genes as the population size $N$ tends to infinity. Unlike traditional approach in…

Probability · Mathematics 2026-01-01 Louis Wai-Tong Fan , Maximillian Newman , John Wakeley

We present a robust method which translates information on the speed of coming down from infinity of a genealogical tree into sampling formulae for the underlying population. We apply these results to population dynamics where the genealogy…

Probability · Mathematics 2012-02-01 Julien Berestycki , Nathanael Berestycki , Vlada Limic

For a one-locus haploid infinite population with discrete generations, the celebrated Kingman's model describes the evolution of fitness distributions under the competition of selection and mutation, with a constant mutation probability.…

Probability · Mathematics 2021-06-01 Linglong Yuan

We introduce a low dimensional function of the site frequency spectrum that is tailor-made for distinguishing coalescent models with multiple mergers from Kingman coalescent models with population growth, and use this function to construct…

Populations and Evolution · Quantitative Biology 2019-08-13 Jere Koskela

Recovery of population size history from molecular sequence data is an important problem in population genetics. Inference commonly relies on a coalescent model linking the population size history to genealogies. The high computational cost…

Statistics Theory · Mathematics 2018-01-17 James E. Johndrow , Julia A. Palacios

We study a population model of fixed size undergoing strong selection where individuals accumulate beneficial mutations, namely the Moran model with selection. In a specific setting with strong selection, Schweinsberg showed that the…

Probability · Mathematics 2021-03-31 François Gaston Ged

We consider a model of a population of fixed size $N$ undergoing selection. Each individual acquires beneficial mutations at rate $\mu_N$, and each beneficial mutation increases the individual's fitness by $s_N$. Each individual dies at…

Probability · Mathematics 2015-07-03 Jason Schweinsberg

Coalescents with multiple collisions, also known as $\Lambda$-coalescents, were introduced by Pitman and Sagitov in 1999. These processes describe the evolution of particles that undergo stochastic coagulation in such a way that several…

Probability · Mathematics 2011-11-09 Julien Berestycki , Nathanaël Berestycki , Jason Schweinsberg

We present and discuss new importance sampling schemes for the approximate computation of the sample probability of observed genetic types in the infinitely many sites model from population genetics. More specifically, we extend the…

Probability · Mathematics 2011-05-11 Matthias Birkner , Jochen Blath , Matthias Steinruecken

Near the beginning of the century, Wright and Fisher devised an elegant, mathematically tractable model of gene reproduction and replacement that laid the foundation for contemporary population genetics. The Wright-Fisher model and its…

Probability · Mathematics 2013-12-23 Todd L. Parsons

In populations competing for resources, it is natural to ask whether consuming fewer resources provides any selective advantage. To answer this question, we propose a Wright- Fisher model with two types of individuals: the inefficient…

Probability · Mathematics 2020-09-11 Adrian Gonzalez Casanova , Veronica Miro Pina , Juan Carlos Pardo