Random partition models and exchangeability for Bayesian identification of population structure

被引：27

作者：

Corander, Jukka

Gyllenberg, Mats

Koski, Timo

机构：

[1] Univ Helsinki, Rolf Nevanlinna Inst, Dept Math & Stat, FIN-00014 Helsinki, Finland

[2] Linkoping Univ, Dept Math, S-58183 Linkoping, Sweden

来源：

BULLETIN OF MATHEMATICAL BIOLOGY | 2007年 / 69卷 / 03期

关键词：

Bayesian inference; genetic population structure; statistical learning theory;

D O I：

10.1007/s11538-006-9161-1

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

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

页码：797 / 815

页数：19

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