Understanding the Tripartite Approach to Bayesian Divergence Time - Estimatio

Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 1. Introduction; 2. A brief introduction to Bayesian inference in phylogenetics; 3. A tripartite model for divergence time estimation; 4. Substitution models; 5. Clock models; 6. Tree models for time-calibrated tree inference; 7. Expanding the potential of the tripartite model within the Bayesian framework; 8. Conclusions.

Dettagli sul prodotto

• Autori: Rachel C M Warnock, Rachel C. M. Warnock, Rachel C. M. Wright Warnock, April M Wright, April M. Wright
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 31.12.2020
• EAN: 9781108949422
• ISBN: 978-1-108-94942-2
• Pagine: 75
• Serie: Elements of Paleontology
• Categorie: Scienze naturali, medicina, informatica, tecnica > Geoscienze > Paleontologia; Scienze umane, arte, musica > Pedagogia > Pedagogia scolastica, didattica, metodica; Evolution, SCIENCE / Paleontology, Palaeontology, Bayesian Inference, Evolution / Evolutionary biology