Keywords:
Biometry.
;
Electronic books.
Description / Table of Contents:
Suitable for graduate-level researchers in statistics and biology, this book presents a snapshot of current trends in Bayesian phylogenetic research. It emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. The book discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. It also covers divergence time estimation, biologically realistic models, and the burgeoning interface between phylogenetics and population genetics.
Type of Medium:
Online Resource
Pages:
1 online resource (391 pages)
Edition:
1st ed.
ISBN:
9781466500822
Series Statement:
Chapman and Hall/CRC Computational Biology Series
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=1480380
DDC:
576.8/8
Language:
English
Note:
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 -- Chapter 7: Bayesian phylogeny analysis -- Chapter 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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