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[null,"1.","Record Nr.",null,"UNINA9910787845903321"]
[null,null,"Titolo",null,"Bayesian phylogenetics : methods, algorithms, and applications / / edited by Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis, University of Connecticut Storrs, USA"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton : , : CRC Press, , [2014]"]
[{"$nulls":4},"©2014"]
[null,null,"ISBN",null,"0-429-18426-3"]
[{"$nulls":4},"1-4665-0079-4"]
[null,null,"Descrizione fisica",null,"1 online resource (391 p.)"]
[null,null,"Collana",null,"Chapman and Hall/CRC Mathematical and Computational Biology Series"]
[null,null,"Disciplina",null,"576.8/8"]
[null,null,"Soggetti",null,"Phylogeny"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Molecular genetics"]
[{"$nulls":4},"Bayesian statistical decision theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Front Cover; Contents; List of Figures; List of Tables; Preface; Editors; Contributors; Chapter 1: Bayesian phylogenetics: methods, computational algorithms, and applications; Chapter 2: Priors in Bayesian phylogenetics; Chapter 3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; Chapter 4: Bayesian model selection in phylogenetics and genealogy-based population genetics; Chapter 5: Variable tree topology stepping-stone marginal likelihood estimation; Chapter 6: Consistency of marginal likelihood estimation when topology varies"]
[{"$nulls":4},"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"]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"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-"]