AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics

A key element to a successful Markov chain Monte Carlo (MCMC) inference is the programming and run performance of the Markov chain. However, the explicit use of quality assessments of the MCMC simulations—convergence diagnostics—in phylogenetics is still uncommon. Here, we present a simple tool that...

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Veröffentlicht in:	Bioinformatics 2008-02, Vol.24 (4), p.581-583
Hauptverfasser:	Nylander, Johan A.A., Wilgenbusch, James C., Warren, Dan L., Swofford, David L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Biological and medical sciences Computational Biology - methods Computer Graphics Fundamental and applied biological sciences. Psychology General aspects Markov Chains Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Monte Carlo Method Phylogeny Software
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