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The Ancestral Selection Graph (ASG) is an important genealogical process which extends the well-known Kingman coalescent to incorporate natural selection. We show that the number of lineages of the ASG with and without mutation is…

Probability · Mathematics 2020-12-23 Philip A. Hanson , Paul A. Jenkins , Jere Koskela , Dario Spanò

We study a class of branching processes in which the offspring distribution is not specified directly but is induced by a cycle of internal colony growth, catastrophic reduction and structured dispersal. The parameters governing growth,…

Probability · Mathematics 2026-05-07 Lucas R. de Lima , Fábio P. Machado

Trees corresponding to $\Lambda$- and $\Xi$-$n$-coalescents can be both quite similar and fundamentally different compared to bifurcating tree models based on Kingman's $n$-coalescent. This has consequences for inference of a well-fitting…

Probability · Mathematics 2020-10-26 Fabian Freund

We describe the onset of condensation in the simple model for the balance between selection and mutation given by Kingman in terms of a scaling limit theorem. Loosely speaking, this shows that the wave moving towards genes of maximal…

Probability · Mathematics 2012-07-27 Steffen Dereich , Peter Mörters

We apply recently developed inference methods based on general coalescent processes to DNA sequence data obtained from various marine species. Several of these species are believed to exhibit so-called shallow gene genealogies, potentially…

Populations and Evolution · Quantitative Biology 2012-11-06 Matthias Steinrücken , Matthias Birkner , Jochen Blath

Gene trees are evolutionary trees representing the ancestry of genes sampled from multiple populations. Species trees represent populations of individuals -- each with many genes -- splitting into new populations or species. The coalescent…

Populations and Evolution · Quantitative Biology 2010-07-30 Elizabeth S. Allman , James H. Degnan , John A. Rhodes

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 consider a family of models describing the evolution under selection of a population whose dynamics can be related to the propagation of noisy traveling waves. For one particular model, that we shall call the exponential model, the…

Disordered Systems and Neural Networks · Physics 2009-11-13 E. Brunet , B. Derrida , A. H. Mueller , S. Munier

Kingman's coalescent is a widely used process to model sample genealogies in population genetics. Recently there have been studies on the inference of quantities related to the genealogy of additional individuals given a known sample. This…

Probability · Mathematics 2024-02-29 Linglong Yuan

We define a multi-type coalescent point process of a general branching process with finitely many types. This multi-type coalescent fully describes the genealogy of the (quasi-stationary) standing population, providing types along ancestral…

Probability · Mathematics 2013-09-18 Lea Popovic , Mariolys Rivas

Consider the Markov process taking values in the partitions of N such that each pair of blocks merges at rate one, and each integer is eroded, i.e., becomes a singleton block, at rate d. This is a special case of exchangeable…

Probability · Mathematics 2019-07-15 Félix Foutel-Rodier , Amaury Lambert , Emmanuel Schertzer

We consider a periodic extension of the classical Kingman non-linear model (Kingman, 1978) for the balance between selection and mutation in a large population. In the original model, the fitness distribution of the population is modeled by…

Probability · Mathematics 2024-05-24 Camille Coron , Olivier Hénard

Considering a random binary tree with $n$ labelled leaves, we use a pruning procedure on this tree in order to construct a $\beta(3/2,1/2)$-coalescent process. We also use the continuous analogue of this construction, i.e. a pruning…

Probability · Mathematics 2013-09-11 Romain Abraham , Jean-François Delmas

We present a new model for seed banks, where direct ancestors of individuals may have lived in the near as well as the very far past. The classical Wright-Fisher model, as well as a seed bank model with bounded age distribution considered…

Probability · Mathematics 2013-07-02 Jochen Blath , Adrian González Casanova , Noemi Kurt , Dario Spanò

Consider a structured population consisting of $d$ colonies, with migration rates proportional to a positive parameter $K$. We sample $N_K$ individuals, distributed evenly across the $d$ colonies, and trace their ancestral lineages backward…

Probability · Mathematics 2026-01-27 Fernando Cordero , Sophia-Marie Mellis , Emmanuel Schertzer

We define and analyze a coalescent process as a recursive box-filling process whose genealogy is given by an ancestral time-reversed, time-inhomogeneous Bienyam\'{e}-Galton-Watson process. Special interest is on the expected size of a…

Probability · Mathematics 2017-09-25 Nicolas Grosjean , Thierry Huillet

We dedicate this paper to Sir John Kingman on his 70th Birthday. In modern mathematical population genetics the ancestral history of a population of genes back in time is described by John Kingman's coalescent tree. Classical and modern…

Probability · Mathematics 2010-03-25 Robert C. Griffiths , Dario Spano`

Consider a random real tree whose leaf set, or boundary, is endowed with a finite mass measure. Each element of the tree is further given a type, or allele, inherited from the most recent atom of a random point measure…

Probability · Mathematics 2018-09-26 Jean-Jil Duchamps , Amaury Lambert

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 genealogy of a sample of individuals taken from a spatially structured population when the variance of the offspring distribution is relatively large. The space is structured into discrete sites of a graph G. If the…

Probability · Mathematics 2012-09-26 Benjamin Heuer , Anja Sturm