Understanding the Tripartite Approach to Bayesian Divergence Time Estimation (e-bog) af Wright, April M.
Wright, April M. (forfatter)

Understanding the Tripartite Approach to Bayesian Divergence Time Estimation e-bog

165,78 DKK (inkl. moms 207,22 DKK)
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 wid...
E-bog 165,78 DKK
Forfattere Wright, April M. (forfatter)
Udgivet 24 februar 2021
Genrer Teaching skills and techniques
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781108957762
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.