Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
February 2021
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9781108957762
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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.
Product details
February 2021Adobe eBook Reader
9781108957762
0 pages
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- 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.
