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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chen, Ming-Hui, 1961- (Editor ), Kuo, Lynn, 1949- (Editor ), Lewis, Paul O., 1961- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press/Taylor and Francis Group, [2014]
Colección:Chapman and Hall/CRC mathematical & computational biology series.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Bayesian phylogenetics :  |b methods, algorithms, and applications /  |c edited by Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis. 
264 1 |a Boca Raton, FL :  |b CRC Press/Taylor and Francis Group,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online resource (xxxi, 391 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Chapman & Hall/CRC Mathematical and Computational Biology 
588 0 |a Print version record. 
505 0 |a 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. 
505 8 |a 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. 
520 |a 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- 
504 |a Includes bibliographical references (pages 319-358) and index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Phylogeny  |x Statistical methods. 
650 0 |a Biometry. 
650 0 |a Molecular genetics. 
650 0 |a Bayesian statistical decision theory. 
650 6 |a Phylogenèse  |x Méthodes statistiques. 
650 6 |a Biométrie. 
650 6 |a Génétique moléculaire. 
650 6 |a Théorie de la décision bayésienne. 
650 7 |a biometrics.  |2 aat 
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650 7 |a Bayesian statistical decision theory  |2 fast 
650 7 |a Biometry  |2 fast 
650 7 |a Molecular genetics  |2 fast 
700 1 |a Chen, Ming-Hui,  |d 1961-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJbM7VMQQvqJgGkgbTjQv3 
700 1 |a Kuo, Lynn,  |d 1949-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PBJkMDcC8Y3PdgBw4whYXVC 
700 1 |a Lewis, Paul O.,  |d 1961-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjGJfxwXX4CM88JKqq9Dhd 
758 |i has work:  |a Bayesian phylogenetics (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCH7RWwxjJMHfTbkVXyqJDq  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Erscheint auch als:  |n Druck-Ausgabe  |a Chen, Ming-Hui. Bayesian Phylogenetics .  |t Methods, Algorithms, and Applications 
830 0 |a Chapman and Hall/CRC mathematical & computational biology series. 
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