reviewTop 1% cited
Potential Applications and Pitfalls of Bayesian Inference of Phylogeny
Systematic Biology · 2002 · Vol. 51(5) · pp. 673–688
John P. Huelsenbeck✉(University of California, San Diego)Bret Larget(Duquesne University)Richard E. Miller(Southeastern Louisiana University)Fredrik Ronquist(Uppsala University)
Abstract
Only recently has Bayesian inference of phylogeny been proposed. The method is now a practical alternative to the other methods; indeed, the method appears to possess advantages over the other methods in terms of ability to use complex models of evolution, ease of interpretation of the results, and computational efficiency. However, the method should be used cautiously. The results of a Bayesian analysis should be examined with respect to the sensitivity of the results to the priors used and the reliability of the Markov chain Monte Carlo approximation of the probabilities of trees.
Genetic diversity and population structureGenomics and Phylogenetic StudiesBayesian Methods and Mixture ModelsMarkov chain Monte CarloPrior probabilityBayesian probabilityBayesian inferenceInferenceComputer scienceBiologyBayesian statisticsMachine learningArtificial intelligence
MeSH terms
Bayes TheoremGeneticsModels, GeneticPhylogenyModels, Statistical
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