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April M.
Understanding the Tripartite Approach to Bayesian Divergence Time Estimation
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697963Understanding the Tripartite Approach to Bayesian Divergence Time Estimationhttps://www.gandhi.com.mx/understanding-the-tripartite-approach-to-bayesian-divergence-time-estimation-1/phttps://gandhi.vtexassets.com/arquivos/ids/303964/22d34867-56be-4ae9-942f-e37256eaf42b.jpg?v=638334172176900000365445MXNCambridge University PressInStock/Ebooks/<p>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.</p>...697924Understanding the Tripartite Approach to Bayesian Divergence Time Estimation365445https://www.gandhi.com.mx/understanding-the-tripartite-approach-to-bayesian-divergence-time-estimation-1/phttps://gandhi.vtexassets.com/arquivos/ids/303964/22d34867-56be-4ae9-942f-e37256eaf42b.jpg?v=638334172176900000InStockMXN99999DIEbook20219781108957564_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_<p>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.</p>(*_*)9781108957564_<p>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.</p>...9781108957564_Cambridge University Presslibro_electonico_ee7d658f-be56-3510-83cc-6d7ad1463a21_9781108957564;9781108957564_9781108957564April M.InglésMéxicohttps://getbook.kobo.com/koboid-prod-public/cambridgeupress-epub-0a1b8e59-8589-4a6f-a1be-3c0fcc29ef20.epub2021-02-04T00:00:00+00:00Cambridge University Press