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Bayesian Phylogenetics: Methods, Algorithms, and Applications (Chapman & Hall/CRC Computational Biology Series) - Softcover
- PublisherChapman and Hall/CRC
- Publication date2022
- ISBN 10 1032340231
- ISBN 13 9781032340234
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages396
- EditorChen Ming-Hui, Kuo Lynn, Lewis Paul O.
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Bayesian Phylogenetics (Chapman & Hall/CRC Computational Biology Series)
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Bayesian Phylogenetics: Methods, Algorithms, and Applications
Published by
Taylor & Francis Ltd, 2022
ISBN 10: 1032340231
ISBN 13: 9781032340234
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Bayesian Phylogenetics (Chapman & Hall/CRC Computational Biology Series)
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Bayesian Phylogenetics
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Bayesian Phylogenetics
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Bayesian Phylogenetics (Chapman & Hall/CRC Computational Biology Series)
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Bayesian Phylogenetics: Methods, Algorithms, and Applications
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Bayesian Phylogenetics (Chapman & Hall/CRC Computational Biology Series)
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Bayesian Phylogenetics: Methods, Algorithms, and Applications
Published by
Taylor & Francis Ltd, 2022
ISBN 10: 1032340231
ISBN 13: 9781032340234
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Softcover
First Edition
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Bayesian Phylogenetics
Published by
Chapman And Hall/CRC Jul 2022, 2022
ISBN 10: 1032340231
ISBN 13: 9781032340234
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 pp. Englisch. Seller Inventory # 9781032340234
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