Detalles del libro
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.
- Autores Ming-Hui Chen, Lynn Kuo, Genevieve Lewis Paulson
- ISBN13 9781466500792
- ISBN10 1466500794
- Páginas 396
- Año de Edición 2014
- Fecha de publicación 27/05/2014
Reseñas y valoraciones
Bayesian Phylogenetics Methods, Algorithms, and Applications
- De
- Ming-Hui Chen, Lynn Kuo, Genevieve Lewis Paulson
- |
- Chapman and Hall/CRC (2014)
- 9781466500792



