Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
Published on 24. February 2021
978-1-108-95776-2 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
File size
1,50 MB
ISBN-13
978-1-108-95776-2 (9781108957762)
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Other editions
Additional editions
Rachel C. M. Warnock | April M. Wright
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
Book
02/2021
Cambridge University Press
€24.00
Shipment within 15-20 days
Content
1. Introduction; 2. A brief introduction to Bayesian inference in phylogenetics; 3. A tripartite model for divergence time estimation; 4. Substitution models; 5. Clock models; 6. Tree models for time-calibrated tree inference; 7. Expanding the potential of the tripartite model within the Bayesian framework; 8. Conclusions.
