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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

Published online by Cambridge University Press:  08 December 2020

Rachel C. M. Warnock
Affiliation:
ETH Zürich
April M. Wright
Affiliation:
Southeastern Louisiana University

Summary

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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Online ISBN: 9781108954365
Publisher: Cambridge University Press
Print publication: 04 February 2021

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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
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