Random partition models and exchangeability for Bayesian identification of population structure.

Jukka Corander; Mats Gyllenberg; Timo Koski

doi:10.1007/s11538-006-9161-1

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Random partition models and exchangeability for Bayesian identification of population structure.

Jukka Corander·Mats Gyllenberg·Timo Koski

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Abstract

We introduce a Bayesian theoretical formulation of the statistical learning problem concerning the genetic structure of populations. The two key concepts in our derivation are exchangeability in its various forms and random allocation models. Implications of our results to empirical investigation of the population structure are discussed.

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Animals Bayes Theorem Biological Evolution Drosophila melanogaster Genetics, Population Models, Genetic Journal Article Research Support, Non-U.S. Gov't

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Jukka Corander, Mats Gyllenberg, Timo Koski. 2006-11-04. Random partition models and exchangeability for Bayesian identification of population structure.. https://doi.org/10.1007/s11538-006-9161-1

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