用于似然推断的蒙特卡罗期望最大化（EM）算法的替代实现。
Alternative implementations of Monte Carlo EM algorithms for likelihood inferences.
作者信息
García-Cortés L A, Sorensen D
机构信息
Departamento de Genética, Universidad de Zaragoza, Calle Miguel Servet 177, Zaragoza, 50013, Spain.
出版信息
Genet Sel Evol. 2001 Jul-Aug;33(4):443-52. doi: 10.1186/1297-9686-33-4-443.
Abstract
Two methods of computing Monte Carlo estimators of variance components using restricted maximum likelihood via the expectation-maximisation algorithm are reviewed. A third approach is suggested and the performance of the methods is compared using simulated data.
摘要
回顾了两种通过期望最大化算法使用限制最大似然法计算方差分量的蒙特卡罗估计量的方法。提出了第三种方法，并使用模拟数据比较了这些方法的性能。
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