Genealogical processes of sequential Monte Carlo methods and other non-neutral population models under rapid mutation

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Koskela, Jere, Jenkins, Paul A., Johansen, Adam M., Spano, Dario
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866908306322227200
author Koskela, Jere
Jenkins, Paul A.
Johansen, Adam M.
Spano, Dario
author_facet Koskela, Jere
Jenkins, Paul A.
Johansen, Adam M.
Spano, Dario
contents We show that genealogical trees arising from a broad class of non-neutral models of population evolution converge to the Kingman coalescent under a suitable rescaling of time. As well as non-neutral biological evolution, our results apply to genetic algorithms encompassing the prominent class of sequential Monte Carlo (SMC) methods. The time rescaling we need differs slightly from that used in classical results for convergence to the Kingman coalescent, which has implications for the performance of different resampling schemes in SMC algorithms. In addition, our work substantially simplifies earlier proofs of convergence to the Kingman coalescent, and corrects an error common to several earlier results.
format Preprint
id arxiv_https___arxiv_org_abs_2406_16465
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Genealogical processes of sequential Monte Carlo methods and other non-neutral population models under rapid mutation
Koskela, Jere
Jenkins, Paul A.
Johansen, Adam M.
Spano, Dario
Probability
Populations and Evolution
Computation
60J90, 65C35, 92D15
We show that genealogical trees arising from a broad class of non-neutral models of population evolution converge to the Kingman coalescent under a suitable rescaling of time. As well as non-neutral biological evolution, our results apply to genetic algorithms encompassing the prominent class of sequential Monte Carlo (SMC) methods. The time rescaling we need differs slightly from that used in classical results for convergence to the Kingman coalescent, which has implications for the performance of different resampling schemes in SMC algorithms. In addition, our work substantially simplifies earlier proofs of convergence to the Kingman coalescent, and corrects an error common to several earlier results.
title Genealogical processes of sequential Monte Carlo methods and other non-neutral population models under rapid mutation
topic Probability
Populations and Evolution
Computation
60J90, 65C35, 92D15
url https://arxiv.org/abs/2406.16465