Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo.

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Summary

The reversible jump Markov chain Monte Carlo algorithm described here allows estimation of phylogeny (and other phylogenetic model parameters) to be performed while accounting for uncertainty in the model of DNA substitution.

Type
article
Published
2004-02-12
Cited by
536
References
67
Access
Open access

Keywords

Akaike information criterion, Bayesian information criterion, Reversible-jump Markov chain Monte Carlo, Bayes factor, Model selection

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