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:
Phylogeny > Statistical methods.
Biometry.
Molecular genetics.
Bayesian statistical decision theory.
Phylogenèse > Méthodes statistiques.
Biométrie.
Génétique moléculaire.
Théorie de la décision bayésienne.
biometrics.
SCIENCE > Life Sciences > Evolution.
Bayesian statistical decision theory
Biometry
Molecular genetics
Acceso en línea:Texto completo
Descripción
Sumario: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-
Descripción Física:1 online resource (xxxi, 391 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 319-358) and index.
ISBN:9781466500822
1466500824

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