Chapman hall crc computational biology series bayesian phylogenetics

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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 whi

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.

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Taal: en

Uitvoering: Paperback

Oorspronkelijke releasedatum: 12 juli 2022

Aantal pagina's: 396

Hoofdredacteur: Ming-Hui Chen

Tweede Redacteur: Lynn Kuo

Hoofduitgeverij: Chapman & Hall/Crc

Fabrikantgegevens: De informatie van de fabrikant is momenteel niet beschikbaar.

Product breedte: 156 mm

Product lengte: 234 mm

Studieboek: Nee

Verpakking breedte: 156 mm

Verpakking hoogte: 234 mm

Verpakking lengte: 234 mm

Verpakkingsgewicht: 600 g

EAN: 9781032340234

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