Asymptotics of the frequency spectrum for general Dirichlet Ξ-coalescents

In this work, we study general Dirichlet coalescents, which are a family of Ξ-coalecents constructed from i.i.d mass partitions, and are an extension of the symmetric coalescent. This class of models is motivated by population models with recurrent demographic bottlenecks. We study the short time be...

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Detalles Bibliográficos
Autores: González-Casanova, Adrián, Miró Pina, Verónica, Schertzer, Emmanuel, Siri-Jégousse, Arno
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/59472
Acceso en línea:http://hdl.handle.net/10230/59472
http://dx.doi.org/10.1214/23-ejp1064
Access Level:acceso abierto
Palabra clave:Coalescent processes
Coming down form infinity
Markov additive processes
Partitions
Subordinator
Descripción
Sumario:In this work, we study general Dirichlet coalescents, which are a family of Ξ-coalecents constructed from i.i.d mass partitions, and are an extension of the symmetric coalescent. This class of models is motivated by population models with recurrent demographic bottlenecks. We study the short time behavior of the multidimensional block counting process whose ith component counts the number of blocks of size i. Compared to standard coalescent models (such as the class of Λ-coalescents coming down from infinity), our process has no deterministic speed of coming down from infinity. In particular, we prove that, under appropriate re-scaling, it converges to a stochastic process which is the unique solution of a martingale problem. We show that the multivariate Lamperti transform of this limiting process is a Markov Additive Process (MAP). This allows us to provide some asymptotics for the n-Site Frequency Spectrum, which is a statistic widely used in population genetics. In particular, the rescaled number of mutations converges to the exponential functional of a subordinator.