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...
| Main Authors: | , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
2005
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