Description: 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.
Price: 101 AUD
Location: Hillsdale, NSW
End Time: 2024-11-21T14:20:36.000Z
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EAN: 9781032340234
UPC: 9781032340234
ISBN: 9781032340234
MPN: N/A
Format: Paperback, 396 pages
Author: Ming-Hui Chen (Edited by)
Item Height: 2.1 cm
Item Length: 23.4 cm
Item Weight: 0.73 kg
Item Width: 15.6 cm
Language: Eng
Publication Name: N/A
Publisher: Taylor & Francis Ltd
Type: N/A
