New PDF release: Bayesian Phylogenetics: Methods, Algorithms, and
By Ming-Hui Chen,Lynn Kuo,Paul O. Lewis
Offering a wealthy range of versions, Bayesian phylogenetics permits evolutionary biologists, systematists, ecologists, and epidemiologists to acquire solutions to very designated phylogenetic questions. compatible for graduate-level researchers in information and biology, Bayesian Phylogenetics: tools, Algorithms, and Applications offers a photograph of present developments in Bayesian phylogenetic examine.
Encouraging interdisciplinary examine, this publication introduces state of the art phylogenetics to the Bayesian statistical group and, likewise, offers state of the art Bayesian information to the phylogenetics neighborhood. The e-book emphasizes version choice, reflecting contemporary curiosity in appropriately estimating marginal likelihoods. It additionally discusses new methods to enhance blending in Bayesian phylogenetic analyses within which the tree topology varies. additionally, the publication covers divergence time estimation, biologically lifelike types, and the burgeoning interface among phylogenetics and inhabitants genetics.
Read or Download Bayesian Phylogenetics: Methods, Algorithms, and Applications (Chapman & Hall/CRC Mathematical and Computational Biology) PDF
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Additional resources for Bayesian Phylogenetics: Methods, Algorithms, and Applications (Chapman & Hall/CRC Mathematical and Computational Biology)
Bayesian Phylogenetics: Methods, Algorithms, and Applications (Chapman & Hall/CRC Mathematical and Computational Biology) by Ming-Hui Chen,Lynn Kuo,Paul O. Lewis