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Article Dans Une Revue Theoretical Population Biology Année : 2005

Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models

Résumé

An importance sampling algorithm for computing the likelihood of a sample of genes at loci under a stepwise mutation model in a subdivided population is developed. This allows maximum likelihood estimation of migration rates between subpopulations. The time to the most recent common ancestor of the sample can also be computed. The technique is illustrated by an analysis of a data set of Australian red fox populations.

Dates et versions

halsde-00325236 , version 1 (26-09-2008)

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Citer

M. de Iorio, R. Griffiths, Raphaël Leblois, Francois Rousset. Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models. Theoretical Population Biology, 2005, 68 (1), pp.41-53. ⟨10.1016/j.tpb.2005.02.001⟩. ⟨halsde-00325236⟩
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