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OverviewOffering 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. Full Product DetailsAuthor: Ming-Hui Chen (University of Connecticut, Storrs, USA) , Ming-Hui Chen (University of Connecticut, Storrs, USA) , Lynn Kuo (University of Connecticut, Storrs, USA) , Paul O Lewis (University of Connecticut, Storrs, USA)Publisher: CRC Press Imprint: CRC Press ISBN: 9781306867450ISBN 10: 1306867452 Pages: 391 Publication Date: 01 January 2015 Audience: General/trade , General Format: Undefined Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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