ON COMPOSITE LIKELIHOODS IN STATISTICAL GENETICS

被引：0
|
作者：
Larribe, F. [1 ]
Fearnhead, P. [2 ]
机构：
[1] Univ Quebec, Dept Math, Montreal, PQ H3C 3P8, Canada
[2] Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YW, England
来源：
STATISTICA SINICA | 2011年 / 21卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Association; coalescent process; composite likelihood; fine genetic mapping; linkage disequilibrium; SCALED RECOMBINATION RATE; LINKAGE-DISEQUILIBRIUM; POPULATION-GENETICS; HUMAN GENOME; ANCESTRAL INFERENCE; POSITIVE SELECTION; POLYMORPHISM DATA; SEQUENCE DATA; RATES; COALESCENT;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Due to the dimension and the dependency structure of genetic data, composite likelihood methods have found their natural place in the statistical methodology involving such data. After a brief description of the type of data one encounters in population genetic studies, we introduce the questions of interest concerning the main genetic parameters in population genetics, and present an up-to-date review on how composite likelihoods have been used to estimate these parameters.
引用
收藏
页码：43 / 69
页数：27
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