Bayesian Phylogenetics: Methods, Algorithms, and Applications

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 ... Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $34.10 (Expires Jan 04, 2025) 365 Day Rental: $40.30 (Expires Jul 08, 2025) Buy eBook Lifetime Access: $61.99 Title: Bayesian Phylogenetics by Ming-Hui Chen Publisher: Taylor & Francis Print ISBN: 9781032340234, 1032340231 eText ISBN: 9781466500822 Edition: 2022 1st edition Format: PDF eBook	$34.10 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ