Understanding the Tripartite Approach to Bayesian Divergence Time Estimation (Paperback)

Language: English

Published by Cambridge University Press, Cambridge, 2021

1108949428 / 9781108949422

Series: Book 14 of 21 - Elements of Paleontology

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Paperback. 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. We describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. We provide an overview of the most widely used models for each component (the substitution, clock and tree models) and highlight the advantages of implementing the tripartite model within a Bayesian framework. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Title
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation (Paperback)
Author
Rachel C.M. Warnock
Publisher
Cambridge University Press, Cambridge
Publication year
2021
Condition
new
Binding
Paperback
Language
English
ISBN 10
1108949428
ISBN 13
9781108949422
Series
Book 14 of 21: Elements of Paleontology

CitiRetail

Stevenage, United Kingdom

5-star seller

AbeBooks seller since June 29, 2022

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