03598oam 2200649I 450 991080018370332120230803195655.00-429-18426-31-4665-0079-410.1201/b16965 (CKB)2670000000557118(EBL)1480380(SSID)ssj0001218169(PQKBManifestationID)11707656(PQKBTitleCode)TC0001218169(PQKBWorkID)11211310(PQKB)10882540(OCoLC)880825218(MiAaPQ)EBC1480380(EXLCZ)99267000000055711820180331h20142014 uy 0engur|n|---|||||txtccrBayesian phylogenetics methods, algorithms, and applications /edited by Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis, University of Connecticut Storrs, USABoca Raton :CRC Press,[2014]©20141 online resource (391 p.)Chapman and Hall/CRC Mathematical and Computational Biology SeriesDescription based upon print version of record.1-306-86745-2 1-4665-0082-4 Includes bibliographical references.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 variesChapter 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 CoverOffering 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-Chapman and Hall/CRC mathematical & computational biology series.PhylogenyBiometryMolecular geneticsBayesian statistical decision theoryPhylogeny.Biometry.Molecular genetics.Bayesian statistical decision theory.576.8/8Chen Ming-Hui1961-Kuo Lynn1949-Lewis Paul O.1961-FlBoTFGFlBoTFGBOOK9910800183703321Bayesian phylogenetics3877742UNINA