
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
Cambridge University Press
Published on 4. February 2021
Book
Paperback/Softback
48 pages
978-1-108-94942-2 (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
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 3 mm
Weight
77 gr
ISBN-13
978-1-108-94942-2 (9781108949422)
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Schweitzer Classification
Other editions
Additional editions

Rachel C. M. Warnock | April M. Wright
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
E-Book
02/2021
Cambridge University Press
€15.49
Available for download

Rachel C. M. Warnock
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
E-Book
02/2021
Cambridge University Press
€14.49
Available for download
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.