Consistency of estimators of population scaled parameters using composite likelihood
Consistency of estimators of population scaled parameters using composite likelihood
复制标题
使用复合似然的总体缩放参数估计量的一致性
DOI：
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发表时间：
2006
影响因子：
1.9
通讯作者：
C. Wiuf
中科院分区：
文献类型：
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作者：
C. Wiuf
复合似然法在分析大规模基因组数据集方面已经变得非常流行，因为基本合并过程及其推广的计算困难性：如果不使用近似或启发式方法，几乎不可能计算观察到的数据集跨越大染色体区域的可能性。复合似然方法是近似方法，并且在本文中，假设似然被写为似然的乘积，一个用于多个较小区域中的每一个，这些较小区域一起构成从其收集数据的整个区域。中性聚结模型的一个非常一般的框架提出和讨论。该框架包括许多目前用于遗传数据分析的最流行的聚结模型。假设数据是从一系列相同大小的连续区域中收集的。然后，它表明，观察到的数据形成一个平稳的，遍历过程。一般条件下，最大的复合估计的参数描述的模型（如突变率，人口参数和重组率）是一个一致的估计区域的数量趋于无穷大。
Composite likelihood methods have become very popular for the analysis of large-scale genomic data sets because of the computational intractability of the basic coalescent process and its generalizations: It is virtually impossible to calculate the likelihood of an observed data set spanning a large chromosomal region without using approximate or heuristic methods. Composite likelihood methods are approximate methods and, in the present article, assume the likelihood is written as a product of likelihoods, one for each of a number of smaller regions that together make up the whole region from which data is collected. A very general framework for neutral coalescent models is presented and discussed. The framework comprises many of the most popular coalescent models that are currently used for analysis of genetic data. Assume data is collected from a series of consecutive regions of equal size. Then it is shown that the observed data forms a stationary, ergodic process. General conditions are given under which the maximum composite estimator of the parameters describing the model (e.g. mutation rates, demographic parameters and the recombination rate) is a consistent estimator as the number of regions tends to infinity.
影响因子：
3.3
作者：
R. Hudson
通讯作者：
R. Hudson
影响因子：
3.3
作者：
M. Kuhner;Jon A Yamato;J. Felsenstein
通讯作者：
M. Kuhner;Jon A Yamato;J. Felsenstein