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Bayesian phylogenetics : methods, algorithms, and applications /

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, Alg...

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Détails bibliographiques
Cote:Libro Electrónico
Autres auteurs: Chen, Ming-Hui, 1961- (Éditeur intellectuel), Kuo, Lynn, 1949- (Éditeur intellectuel), Lewis, Paul O., 1961- (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Boca Raton, FL : CRC Press/Taylor and Francis Group, [2014]
Collection:Chapman and Hall/CRC mathematical & computational biology series.
Sujets:
Accès en ligne:Texto completo
Table des matières:
  • Front Cover; Contents; List of Figures; List of Tables; Preface; Editors; Contributors; Chapter 1: Bayesian phylogenetics: methods, computational algorithms, and applications; Chapter 2: Priors in Bayesian phylogenetics; Chapter 3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; Chapter 4: Bayesian model selection in phylogenetics and genealogy-based population genetics; Chapter 5: Variable tree topology stepping-stone marginal likelihood estimation; Chapter 6: Consistency of marginal likelihood estimation when topology varies.
  • Chapter 7: Bayesian phylogeny analysisChapter 8: SMC (sequential Monte Carlo) for Bayesian phylogenetics; Chapter 9: Population model comparison using multi-locus datasets; Chapter 10: Bayesian methods in the presence of recombination; Chapter 11: Bayesian nonparametric phylodynamics; Chapter 12: Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution; Chapter 13: Bayesian inference of species divergence times; Bibliography; Back Cover.