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the goal of Bayesian divergence time estimation

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Presentation on theme: "the goal of Bayesian divergence time estimation"— Presentation transcript:

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2 the goal of Bayesian divergence time estimation
Markov chain Monte Carlo (MCMC)—to eliminate the difficult task of calculating the marginal probability of the data.

3 Five different parametric distributions that can be applied as priors on the age of a calibrated node.

4 BEAUti — BEAUti is a utility program with a graphical user interface for creating BEAST and *BEAST input files which must be written in the eXtensible Markup Language (XML). Tracer — Tracer can be used for visual inspection and assessment of convergence and it also calculates 95% credible intervals and effective sample sizes (ESS) of parameters. LogCombiner — LogCombiner can be used to combine the parameter log files or tree files into a single file that can then be summarized using Tracer (log files) or TreeAnnotator (tree files). TreeAnnotator — TreeAnnotator is used to summarize the posterior sample of trees to produce a maximum clade credibility tree.

5 Practical: Divergence Time Estimation using BEAST v2.*
Dating Species Divergences with the Fossilized Birth-Death Process Download data and pre-cooked output files from: bears_irbp_fossils.nex and bears_cytb_fossils.nex

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7 .nex → .xml → .log .trees → .combined.trees → .summary.tree


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