TY  - BOOK
AU  - Chen,Ming-Hui
AU  - Kuo,Lynn
AU  - Lewis,Paul O.
TI  - Bayesian phylogenetics: methods, algorithms, and applications 
T2  - Chapman & Hall/CRC mathematical and computational biology series
SN  - 9781466500792 (hardcover : alk. paper)
U1  - 000SB:576.88 23
PY  - 2014///
CY  - Boca Raton :    
PB  - CRC Press
KW  - Phylogeny
KW  - Biometry
KW  - Molecular genetics
KW  - Bayesian statistical decision theory
N1  - Includes bibliographical references and index; 1: Bayesian phylogenetics: methods, computational algorithms, and applications; 
2: Priors in Bayesian phylogenetics; 
3: Inated density ratio (IDR) method for estimating marginal likelihoods in Bayesian phylogenetics; 
4: Bayesian model selection in phylogenetics and genealogy-based population genetics; 
5: Variable tree topology stepping-stone marginal likelihood estimation; 
6: Consistency of marginal likelihood estimation when topology varies. 
7: Bayesian phylogeny analysis; 
8: SMC (sequential Monte Carlo) for Bayesian phylogenetics; 
9: Population model comparison using multi-locus datasets; 
10: Bayesian methods in the presence of recombination; 
11: Bayesian nonparametric phylodynamics; 
12: Sampling and summary statistics of endpoint-conditioned paths in DNA sequence evolution; 
13: Bayesian inference of species divergence times; Bibliography; 
Index
N2  - 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-
ER  -