Consistency of the maximum likelihood estimator of population tree in a coalescent framework

Pub Date : 2024-04-21 DOI:10.1016/j.jspi.2024.106172
Arindam RoyChoudhury
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Abstract

We present a proof of consistency of the maximum likelihood estimator (MLE) of population tree in a previously proposed coalescent model. As the model involves tree-topology as a parameter, the standard proof of consistency for continuous parameters does not directly apply. In addition to proving that a consistent sequence of MLE exists, we also prove that the overall MLE, computed by maximizing the likelihood over all tree-topologies, is also consistent. Thus, the MLE of tree-topology is consistent as well. The last result is important because local maxima occur in the likelihood of population trees, especially while maximizing the likelihood separately for each tree-topology. Even though MLE is known to be a dependable estimator under this model, our work proves its effectiveness with mathematical certainty.

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聚合框架中种群树最大似然估计的一致性
我们提出了种群树最大似然估计值(MLE)在之前提出的聚合模型中的一致性证明。由于该模型涉及作为参数的树顶结构,因此连续参数的标准一致性证明并不直接适用。除了证明存在一致的 MLE 序列外,我们还证明了通过最大化所有树状结构的似然计算得出的整体 MLE 也是一致的。因此,树状结构的 MLE 也是一致的。最后一个结果非常重要,因为种群树的可能性会出现局部最大值,尤其是在对每种树形分别进行可能性最大化时。尽管众所周知 MLE 是该模型下可靠的估计器,但我们的工作还是用数学上的确定性证明了它的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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