Random Partition Models and Exchangeability for Bayesian Identification of Population Structure

被引：0
|
作者：
Jukka Corander
Mats Gyllenberg
Timo Koski
机构：
[1] University of Helsinki,Department of Mathematics and Statistics, Rolf Nevanlinna Institute
[2] University of Linköping,Department of Mathematics
来源：
Bulletin of Mathematical Biology | 2007年 / 69卷
关键词：
Bayesian inference; Genetic population structure; Statistical learning theory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：797 / 815
页数：18
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