Understanding the tripartite approach to Bayesian divergence time estimation

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: t...

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1. Verfasser:	Warnock, Rachel C. M. (VerfasserIn)
Weitere Verfasser:	Wright, April M. (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Cambridge, New York, NY, Port Melbourne, New Delhi, Singapore Cambridge University Press 2020
Schriftenreihe:	Cambridge Elements Elements of Paleontology
Schlagworte:	Divergence (Biology) ; Mathematical models > Paleobiology ; Mathematical models > Macroevolution ; Mathematical models > Bayesian statistical decision theory
Online Zugang:	zbMATH
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Beschreibung
Zusammenfassung:	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.
Beschreibung:	39 Seiten
ISBN:	9781108949422 978-1-108-94942-2