| Description |
1 online resource (xxxi, 391 pages) : illustrations |
| Series |
Chapman & Hall/CRC Mathematical and Computational Biology |
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Chapman and Hall/CRC mathematical & computational biology series
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| Contents |
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 |
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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 |
| Summary |
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- |
| Bibliography |
Includes bibliographical references (pages 319-358) and index |
| Notes |
Print version record |
| Subject |
Phylogeny -- Statistical methods
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Biometry.
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Molecular genetics.
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Bayesian statistical decision theory.
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biometrics.
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SCIENCE -- Life Sciences -- Evolution.
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Bayesian statistical decision theory
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Biometry
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Molecular genetics
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| Form |
Electronic book
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| Author |
Chen, Ming-Hui, 1961- editor.
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Kuo, Lynn, 1949- editor.
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Lewis, Paul O., 1961- editor.
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| ISBN |
9781466500822 |
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1466500824 |
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