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Model selection in phylogenetics
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DOI：10.1146/annurev.ecolsys.36.102003.152633.png)
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Abstract
En 中文
Investigation into model selection has a long history in the statistical literature. As model-based approaches begin dominating systematic biology, increased attention has focused on how models should be selected for distance-based, likelihood, and Bayesian phylogenetics. Here, we review issues that render model-based approaches necessary, briefly review nucleotide-based models that attempt to capture relevant features of evolutionary processes, and review methods that have been applied to model selection in phylogenetics: likelihood-ratio tests, AIC, BIC, and performance-based approaches.
Keywords:
AIC
BIC
decision theory
likelihood ratio
statistical phylogenetics
Journal
IF:
11.4
Papers:
260
Citations:
2.1W
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