Bayesian Phylogenetics: Methods, Algorithms, and Applications Chen Ming-Hui
Bayesian Phylogenetics: Methods, Algorithms, and Applications Chen Ming-Hui Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and…
Specifikacia Bayesian Phylogenetics: Methods, Algorithms, and Applications Chen Ming-Hui
Bayesian Phylogenetics: Methods, Algorithms, and Applications Chen Ming-Hui
Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists to obtain answers to very detailed phylogenetic questions. The book emphasizes model selection, reflecting recent interest in accurately estimating marginal likelihoods. 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.
In addition, It also discusses new approaches to improve mixing in Bayesian phylogenetic analyses in which the tree topology varies.