Approximating Model Probabilities in Bayesian Information Criterion and Decision-Theoretic Approaches to Model Selection in Phylogenetics
نویسندگان
چکیده
منابع مشابه
Approximating model probabilities in Bayesian information criterion and decision-theoretic approaches to model selection in phylogenetics.
A priori selection of models for use in phylogeny estimation from molecular sequence data is increasingly important as the number and complexity of available models increases. The Bayesian information criterion (BIC) and the derivative decision-theoretic (DT) approaches rely on a conservative approximation to estimate the posterior probability of a given model. Here, we extended the DT method b...
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ژورنال
عنوان ژورنال: Molecular Biology and Evolution
سال: 2010
ISSN: 0737-4038,1537-1719
DOI: 10.1093/molbev/msq195