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|a UAMI
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|a Bayesian phylogenetics :
|b methods, algorithms, and applications /
|c edited by Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis.
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|a Boca Raton, FL :
|b CRC Press/Taylor and Francis Group,
|c [2014]
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|c ©2014
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|a 1 online resource (xxxi, 391 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Chapman & Hall/CRC Mathematical and Computational Biology
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|a Print version record.
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|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.
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|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.
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|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-
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|a Includes bibliographical references (pages 319-358) and index.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Phylogeny
|x Statistical methods.
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|a Biometry.
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|a Molecular genetics.
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|a Bayesian statistical decision theory.
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|a Phylogenèse
|x Méthodes statistiques.
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|a Biométrie.
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|a Génétique moléculaire.
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|a Théorie de la décision bayésienne.
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|a biometrics.
|2 aat
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|a SCIENCE
|x Life Sciences
|x Evolution.
|2 bisacsh
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|a Bayesian statistical decision theory
|2 fast
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|a Biometry
|2 fast
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|a Molecular genetics
|2 fast
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700 |
1 |
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|a Chen, Ming-Hui,
|d 1961-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PBJbM7VMQQvqJgGkgbTjQv3
|
700 |
1 |
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|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
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758 |
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|i has work:
|a Bayesian phylogenetics (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH7RWwxjJMHfTbkVXyqJDq
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Erscheint auch als:
|n Druck-Ausgabe
|a Chen, Ming-Hui. Bayesian Phylogenetics .
|t Methods, Algorithms, and Applications
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830 |
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|a Chapman and Hall/CRC mathematical & computational biology series.
|
856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1480380
|z Texto completo
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938 |
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|a EBL - Ebook Library
|b EBLB
|n EBL1480380
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938 |
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|a ebrary
|b EBRY
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938 |
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|a Taylor & Francis
|b TAFR
|n CAH0KE15779PDF
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938 |
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|a Taylor & Francis
|b TAFR
|n 9780429184260
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994 |
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|a 92
|b IZTAP
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