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Choosing among Partition Models in Bayesian Phylogenetics
2010
Molecular biology and evolution
Bayesian phylogenetic analyses often depend on Bayes factors (BFs) to determine the optimal way to partition the data. The marginal likelihoods used to compute BFs, in turn, are most commonly estimated using the harmonic mean (HM) method, which has been shown to be inaccurate. We describe a new more accurate method for estimating the marginal likelihood of a model and compare it with the HM method on both simulated and empirical data. The new method generalizes our previously described
doi:10.1093/molbev/msq224
pmid:20801907
pmcid:PMC3002242
fatcat:zpa3wkj7ond5xmvcbeeosd3bfm