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Bayesian Phylogenetics : Methods, Algorithms, and Applications download pdf

Bayesian Phylogenetics : Methods, Algorithms, and Applications .Ming-Hui Chen

Bayesian Phylogenetics : Methods, Algorithms, and Applications
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Author: Ming-Hui Chen
Number of Pages: 396 pages
Published Date: 07 Jul 2014
Publisher: Taylor & Francis Inc
Publication Country: Bosa Roca, United States
Language: English
ISBN: 9781466500792
File Name: Bayesian.Phylogenetics.Methods,.Algorithms,.and.Applications.pdf
Download Link: Bayesian Phylogenetics Methods, Algorithms, and Applications
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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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