Bayesian Phylogenetics: Methods, Algorithms, and Applications - Chapman & Hall / CRC Computational Biology Series - Ming-hui Chen - Bøker - Taylor & Francis Inc - 9781466500792 - 27. mai 2014
Ved uoverensstemmelse mellom cover og tittel gjelder tittel

Bayesian Phylogenetics: Methods, Algorithms, and Applications - Chapman & Hall / CRC Computational Biology Series 1. utgave


Få en e-post når varen er tilgjengelig
Har du en profil? Logg inn
Julegaver kan byttes frem til 31. januar
Få varsel om nye utgivelser fra Ming-hui Chen
Legg til iMusic ønskeliste
eller

Ikke vurdert ennå

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-art Bayesian statistics to the phylogenetics community. The book emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. It also discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies. In addition, the book covers divergence time estimation, biologically realistic models, and the burgeoning interface between phylogenetics and population genetics.


396 pages, 49 black & white illustrations, 28 black & white tables

Media Bøker     Innbunden bok   (Bok med hard rygg og stivt omslag)
Utgitt 27. mai 2014
ISBN13 9781466500792
Utgivere Taylor & Francis Inc
Sjanger Aspects (Academic) > Science / Technology Aspects
Antall sider 396
Mål 162 × 241 × 26 mm   ·   736 g
Språk Engelsk  
Redaktør Chen, Ming-Hui
Redaktør Kuo, Lynn
Redaktør Lewis, Paul O.

Mer med Ming-hui Chen

Mer fra samme **utgiver**