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

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

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...

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Dettagli Bibliografici
Autori principali:	De Iorio, M, Griffiths, R, Leblois, R, Rousset, F
Natura:	Journal article
Lingua:	English
Pubblicazione:	2005

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