Bayesian Phylogenetics: Methods, Algorithms, and Applications

1st Edition

Ming-Hui Chen, Lynn Kuo, Paul O. Lewis

Chapman and Hall/CRC
Published May 27, 2014
Reference - 396 Pages - 49 B/W Illustrations
ISBN 9781466500792 - CAT# K14380
Series: Chapman & Hall/CRC Mathematical and Computational Biology

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Summary

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.

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