Ming-hui Chen
Bayesian Phylogenetics: Methods, Algorithms, and Applications - Chapman & Hall / CRC Computational Biology Series Ming-hui Chen 第1 版

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Bayesian Phylogenetics: Methods, Algorithms, and Applications - Chapman & Hall / CRC Computational Biology Series

Ming-hui Chen

第1 版

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.

396 pages, 49 black & white illustrations, 28 black & white tables

メディア	書籍 Hardcover Book (ハードカバー付きの本)
リリース済み	2014年5月27日
ISBN13	9781466500792
出版社	Taylor & Francis Inc
ジャンル	Aspects (Academic) > Science / Technology Aspects
ページ数	396
寸法	162 × 241 × 26 mm · 736 g
言語	英語
編集者	Chen, Ming-Hui
編集者	Kuo, Lynn
編集者	Lewis, Paul O.