Bayesian Phylogenetics : Methods, Algorithms, and Applications Hardback
Edited by Ming-Hui Chen, Lynn (University of Connecticut, Storrs, USA) Kuo, Paul O. (University of Connecticut, Storrs, USA) Lewis
Part of the Chapman & Hall/CRC Mathematical and Computational Biology series
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.
- Format: Hardback
- Pages: 396 pages, 28 Tables, black and white; 49 Illustrations, black and white
- Publisher: Taylor & Francis Inc
- Publication Date: 27/05/2014
- Category: Probability & statistics
- ISBN: 9781466500792