Genealogical Working Distributions for Bayesian Model Testing with Phylogenetic Uncertainty.

ABSTRACT: Marginal likelihood estimates to compare models using Bayes factors frequently accompany Bayesian phylogenetic inference. Approaches to estimate marginal likelihoods have garnered increased attention over the past decade. In particular, the introduction of path sampling (PS) and stepping-stone sampling (SS) into Bayesian phylogenetics has tremendously improved the accuracy of model selection. These sampling techniques are now used to evaluate complex evolutionary and population genetic models on empirical data sets, but considerable computational demands hamper their widespread adoption. Further, when very diffuse, but proper priors are specified for model parameters, numerical issues complicate the exploration of the priors, a necessary step in marginal likelihood estimation using PS or S

SUBMITTER: Baele G 

PROVIDER: S-EPMC5009437 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature