贝叶斯天际线图和近似贝叶斯计算在人口统计学中的应用。

4区 生物学 Q2 Medicine
Fernando A Villanea, Andrew Kitchen, Brian M Kemp
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引用次数: 2

摘要

贝叶斯方法被人类学家采用,因为它在解决基于基因数据的人类历史的复杂问题方面很有用。贝叶斯方法的主要优点包括简单的模型比较,将结果作为概率分布的总结,以及将先验信息明确地包含在分析中。例如,在人类学遗传学领域,实现贝叶斯天际线图和近似贝叶斯计算作为分析遗传数据以进行人口统计或历史推断的手段正变得无处不在。相应地,更大的人类学社区迫切需要更好地理解这两种方法的潜在假设、适当应用和局限性。在这里,我们回顾了贝叶斯天际线图和近似贝叶斯计算在人口统计学中的应用,并提供了这些方法在人类学研究问题中的应用实例。我们还回顾了贝叶斯人口分析的两个核心组成部分:凝聚和贝叶斯推断。我们的目标是描述它们的基本机制,试图揭开它们的神秘面纱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Bayesian Skyline Plots and Approximate Bayesian Computation for Human Demography.

Bayesian methods have been adopted by anthropologists for their utility in resolving complex questions about human history based on genetic data. The main advantages of Bayesian methods include simple model comparison, presenting results as a summary of probability distributions, and the explicit inclusion of prior information into analyses. In the field of anthropological genetics, for example, implementing Bayesian skyline plots and approximate Bayesian computation is becoming ubiquitous as means to analyze genetic data for the purpose of demographic or historic inference. Correspondingly, there is a critical need for better understanding of the underlying assumptions, proper applications, and limitations of these two methods by the larger anthropological community. Here we review Bayesian skyline plots and approximate Bayesian computation as applied to human demography and provide examples of the application of these methods to anthropological research questions. We also review the two core components of Bayesian demographic analysis: the coalescent and Bayesian inference. Our goal is to describe their basic mechanics in an attempt to demystify them.

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来源期刊
Human Biology
Human Biology 生物-生物学
CiteScore
1.90
自引率
0.00%
发文量
88
审稿时长
>12 weeks
期刊介绍: Human Biology publishes original scientific articles, brief communications, letters to the editor, and review articles on the general topic of biological anthropology. Our main focus is understanding human biological variation and human evolution through a broad range of approaches. We encourage investigators to submit any study on human biological diversity presented from an evolutionary or adaptive perspective. Priority will be given to interdisciplinary studies that seek to better explain the interaction between cultural processes and biological processes in our evolution. Methodological papers are also encouraged. Any computational approach intended to summarize cultural variation is encouraged. Studies that are essentially descriptive or concern only a limited geographic area are acceptable only when they have a wider relevance to understanding human biological variation. Manuscripts may cover any of the following disciplines, once the anthropological focus is apparent: human population genetics, evolutionary and genetic demography, quantitative genetics, evolutionary biology, ancient DNA studies, biological diversity interpreted in terms of adaptation (biometry, physical anthropology), and interdisciplinary research linking biological and cultural diversity (inferred from linguistic variability, ethnological diversity, archaeological evidence, etc.).
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