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Bayesian Phylogenetics: Methods, Algorithms, and Applications - Chapman & Hall / CRC Computational Biology Series Ming-hui Chen 1.º edición
Bayesian Phylogenetics: Methods, Algorithms, and Applications - Chapman & Hall / CRC Computational Biology Series
Ming-hui Chen
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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 27 de mayo de 2014 |
| ISBN13 | 9781466500792 |
| Editores | Taylor & Francis Inc |
| Género | Aspects (Academic) > Science / Technology Aspects |
| Páginas | 396 |
| Dimensiones | 162 × 241 × 26 mm · 736 g |
| Lengua | Inglés |
| Editor | Chen, Ming-Hui (University of Connecticut, Storrs, USA) |
| Editor | Kuo, Lynn (University of Connecticut, Storrs, USA) |
| Editor | Lewis, Paul O. (University of Connecticut, Storrs, USA) |
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