Using the quantitative genetic threshold model for inferences between and within species
Using the quantitative genetic threshold model for inferences between and within species
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DOI：
10.1098/rstb.2005.1669
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发表时间：
2005-07-29
影响因子：
6.3
通讯作者：
Felsenstein, J
中科院分区：
文献类型：
--
作者：
Felsenstein, J
Sewall Wright的阈值模型已经被用于建模离散特征，这些特征可能有一个连续的特征作为基础，但事实证明，用它来进行有效的统计推断是困难的。马尔可夫链蒙特卡罗（MCMC）方法的有效性使得利用该模型进行似然推理和贝叶斯推理成为可能。本文讨论了在形态学系统学中使用阈值模型来模拟离散全有或全无性状的进化的前景。阈值模型比0/1马尔可夫过程模型有优势，因为它不仅可以适应物种内的多态性，而且还可以允许需要推断的参数少得多的性状的相关进化。介绍并详细描述了评估阈值模型似然比所需的MCMC重要性抽样方法。
Sewall Wright's threshold model has been used in modelling discrete traits that may have a continuous trait underlying them, but it has proven difficult to make efficient statistical inferences with it. The availability of Markov chain Monte Carlo (MCMC) methods makes possible likelihood and Bayesian inference using this model. This paper discusses prospects for the use of the threshold model in morphological systematics to model the evolution of discrete all-or-none traits. There the threshold model has the advantage over 0/1 Markov process models in that it not only accommodates polymorphism within species, but can also allow for correlated evolution of traits with far fewer parameters that need to be inferred. The MCMC importance sampling methods needed to evaluate likelihood ratios for the threshold model are introduced and described in some detail.