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Random Partition Models and Exchangeability for Bayesian Identification of Population Structure
Linköping University, The Institute of Technology. Linköping University, Department of Mathematics, Mathematical Statistics .
Department of Mathematics and Statistics University of Helsinki.
Department of Mathematics and Statistics University of Helsinki.
2007 (English)In: Bulletin of Mathematical Biology, ISSN 0092-8240, E-ISSN 1522-9602, Vol. 69, no 3, p. 797-815Article in journal (Refereed) Published
Abstract [en]

 We introduce a statistical model for learning the genetic structure of populations. A novel MCMC type method is introduced. 

Place, publisher, year, edition, pages
2007. Vol. 69, no 3, p. 797-815
Keywords [en]
ekologisk genetik
National Category
Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-37836DOI: 10.1007/s11538-006-9161-1Local ID: 39565OAI: oai:DiVA.org:liu-37836DiVA, id: diva2:258685
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2017-12-13

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Publisher's full texthttp://www.springerlink.com/content/j6853v22vw410317/?p=4e491dca8751470585b844b7991c6ad1&pi=0

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Koski, Timo

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