Lambda-Fleming-Viot processes and their spatial extensions

<p>The subject of this thesis is the study of certain stochastic models arising in Population Genetics. The study of biological evolution naturally motivates the construction and use of sometimes sophisticated mathematical models.</p> <p>We contribute to the study of the so-called...

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Main Author: Saadi, H
Other Authors: Etheridge, A
Format: Thesis
Language:English
Published: 2011
Subjects:
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author Saadi, H
author2 Etheridge, A
author_facet Etheridge, A
Saadi, H
author_sort Saadi, H
collection OXFORD
description <p>The subject of this thesis is the study of certain stochastic models arising in Population Genetics. The study of biological evolution naturally motivates the construction and use of sometimes sophisticated mathematical models.</p> <p>We contribute to the study of the so-called Lambda models. Our work is divided into two parts. In Part I, we study non-spatial models, introduced in 1999. Although there is a very rich literature concerning the description of genetic diversity thanks to the genealogies arising in these models, we obtain new results by considering the dynamics of the full population. We also contribute by presenting the first Bayesian method that allows us to reconstruct the genealogies generated by these models from data.</p> <p>In Part II, we study a recent extension of these models to the spatial setting. In particular, we prove a non trivial result concerning the geographical dispersal of a new mutant under this model.</p>
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spelling oxford-uuid:5e069206-e124-4b21-aec2-df7a693930382023-05-24T14:25:52ZLambda-Fleming-Viot processes and their spatial extensionsThesishttp://purl.org/coar/resource_type/c_db06uuid:5e069206-e124-4b21-aec2-df7a69393038Computationally-intensive statisticsProbability theory and stochastic processesStochastic processesMathematical genetics and bioinformatics (statistics)EnglishOxford University Research Archive - Valet2011Saadi, HEtheridge, A<p>The subject of this thesis is the study of certain stochastic models arising in Population Genetics. The study of biological evolution naturally motivates the construction and use of sometimes sophisticated mathematical models.</p> <p>We contribute to the study of the so-called Lambda models. Our work is divided into two parts. In Part I, we study non-spatial models, introduced in 1999. Although there is a very rich literature concerning the description of genetic diversity thanks to the genealogies arising in these models, we obtain new results by considering the dynamics of the full population. We also contribute by presenting the first Bayesian method that allows us to reconstruct the genealogies generated by these models from data.</p> <p>In Part II, we study a recent extension of these models to the spatial setting. In particular, we prove a non trivial result concerning the geographical dispersal of a new mutant under this model.</p>
spellingShingle Computationally-intensive statistics
Probability theory and stochastic processes
Stochastic processes
Mathematical genetics and bioinformatics (statistics)
Saadi, H
Lambda-Fleming-Viot processes and their spatial extensions
title Lambda-Fleming-Viot processes and their spatial extensions
title_full Lambda-Fleming-Viot processes and their spatial extensions
title_fullStr Lambda-Fleming-Viot processes and their spatial extensions
title_full_unstemmed Lambda-Fleming-Viot processes and their spatial extensions
title_short Lambda-Fleming-Viot processes and their spatial extensions
title_sort lambda fleming viot processes and their spatial extensions
topic Computationally-intensive statistics
Probability theory and stochastic processes
Stochastic processes
Mathematical genetics and bioinformatics (statistics)
work_keys_str_mv AT saadih lambdaflemingviotprocessesandtheirspatialextensions