Abstract
▪ Abstract 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
PhylogeneticsModel selectionSelection (genetic algorithm)Maximum likelihoodBayesian probabilityEvolutionary biologyComputer scienceMachine learningArtificial intelligenceBiologyStatisticsMathematicsGenetics
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Publication Info
- Year
- 2005
- Type
- article
- Volume
- 36
- Issue
- 1
- Pages
- 445-466
- Citations
- 417
- Access
- Closed
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Cite This
Jack Sullivan,
Paul Joyce
(2005).
Model Selection in Phylogenetics.
Annual Review of Ecology Evolution and Systematics
, 36
(1)
, 445-466.
https://doi.org/10.1146/annurev.ecolsys.36.102003.152633
Identifiers
- DOI
- 10.1146/annurev.ecolsys.36.102003.152633