The EM Algorithm in Genetics, Genomics and Public Health

被引：5
|
作者：
Laird, Nan M. [1 ]
机构：
[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
来源：
STATISTICAL SCIENCE | 2010年 / 25卷 / 04期
关键词：
Incomplete data; maximum likelihood; gene counting; linkage analysis; finding regulatory motifs; diffusion batteries; particle size distributions; EXPECTATION MAXIMIZATION; RECONSTRUCTION; DISTRIBUTIONS; TOMOGRAPHY; EMISSION; TRAITS; SITES;
D O I：
10.1214/08-STS270
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：
The popularity of the EM algorithm owes much to the 1977 paper by Dempster, Laird and Rubin. That paper gave the algorithm its name, identified the general form and some key properties of the algorithm and established its broad applicability in scientific research. This review gives a nontechnical introduction to the algorithm for a general scientific audience, and presents a few examples characteristic of its application.
引用
收藏
页码：450 / 457
页数：8
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