Offering a rich diversity of models Bayesian phylogenetics allows evolutionary biologists systematists ecologists and epidemiologists to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statistics and biology Bayesian Phylogenetics: Methods Algorithms and Applications presents a snapshot of current trends in Bayesian phylogenetic research. Encouraging interdisciplinary research this book introduces state-of-the-art phylogenetics to the Bayesian statistical community and likewise presents state-of-the-art Bayesian statistics to the phylogenetics community. The book emphasizes model selection reflecting recent interest in accurately estimating marginal likelihoods. It also discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. In addition the book covers divergence time estimation biologically realistic models and the burgeoning interface between phylogenetics and population genetics. |Bayesian Phylogenetics Methods Algorithms and Applications | Statistics
