Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
Language: English
Published by Cambridge University Press, GB, 2021
- Softcover
- New



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Placing evolutionary events in the context of geological time is a fundamental goal in paleobiology and macroevolution. In this Element we describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its component models: the substitution model, the clock model and the tree model. We provide an overview of the most widely used models for each component and highlight the advantages of implementing the tripartite model within a Bayesian framework.
Seller Inventory # LU-9781108949422
- Title
- Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
- Author
- Rachel C. M. Warnock, April M. Wright
- Publisher
- Cambridge University Press, GB
- Publication year
- 2021
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1108949428
- ISBN 13
- 9781108949422
- Item weight
- 850 grams
- Series
- Book 14 of 21: Elements of Paleontology
"Synopsis" may belong to another edition of this title.
Rarewaves.com USA
London, London, United Kingdom
AbeBooks seller since June 11, 2025
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