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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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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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MORE INFO
Format
Paperback
Publisher
Cambridge University Press
Country
United Kingdom
Date
4 February 2021
Pages
75
ISBN
9781108949422

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.

Read More
Format
Paperback
Publisher
Cambridge University Press
Country
United Kingdom
Date
4 February 2021
Pages
75
ISBN
9781108949422