最大似然估计和自然成对估计方程对于三个序列和对称 2 状态替换模型是相同的

IF 1.2 4区 生物学 Q4 ECOLOGY Theoretical Population Biology Pub Date : 2024-01-04 DOI:10.1016/j.tpb.2023.12.004
Asger Hobolth , Carsten Wiuf
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引用次数: 0

摘要

考虑在一个已知拓扑结构的对称 2 状态替换模型和一个有三片叶子的钟形或星形树中估计分支长度的问题。我们证明,最大似然估计值是可分析的,并且可以通过成对序列比较获得。此外,我们还证明这一特性并不能推广到更大的状态空间、更复杂的模型或更大的树。我们的论证基于对模型自由参数和最小充分数据向量维数的枚举。我们对这个问题的兴趣源于与前同事弗雷迪-布格-克里斯蒂安森(Freddy Bugge Christiansen)的讨论。
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Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model

Consider the problem of estimating the branch lengths in a symmetric 2-state substitution model with a known topology and a general, clock-like or star-shaped tree with three leaves. We show that the maximum likelihood estimates are analytically tractable and can be obtained from pairwise sequence comparisons. Furthermore, we demonstrate that this property does not generalize to larger state spaces, more complex models or larger trees. Our arguments are based on an enumeration of the free parameters of the model and the dimension of the minimal sufficient data vector. Our interest in this problem arose from discussions with our former colleague Freddy Bugge Christiansen.

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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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