Random Partition Models and Exchangeability for Bayesian Identification of Population Structure View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-04

AUTHORS

Jukka Corander, Mats Gyllenberg, Timo Koski

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.

PAGES

797-815

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11538-006-9161-1

DOI

http://dx.doi.org/10.1007/s11538-006-9161-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051348821

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17086368


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