Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
£17.00
Part of Elements of Paleontology
- Authors:
- Rachel C. M. Warnock, ETH Zürich
- April M. Wright, Southeastern Louisiana University
- Date Published: February 2021
- availability: Available
- format: Paperback
- isbn: 9781108949422
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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.
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×Product details
- Date Published: February 2021
- format: Paperback
- isbn: 9781108949422
- length: 75 pages
- dimensions: 150 x 230 x 4 mm
- weight: 0.85kg
- availability: Available
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.
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