Markov Chain Monte Carlo model selection for DAG models
نویسندگان
چکیده
منابع مشابه
Bayesian Phylogenetic Model Selection Using Reversible Jump Markov Chain Monte Carlo R.H. Substitution model selection Key words: Bayesian phylogenetic inference, Markov chain Monte Carlo, maximum likelihood, reversible jump Markov chain Monte Carlo, substitution models
A common problem in molecular phylogenetics is choosing a model of DNA substitution that does a good job of explaining the DNA sequence alignment without introducing superfluous parameters. A number of methods have been used to choose among a small set of candidate substitution models, such as the likelihood ratio test, the Akaike Information Criterion (AIC), the Bayesian Information Criterion ...
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ژورنال
عنوان ژورنال: Statistical Methods and Applications
سال: 2004
ISSN: 1618-2510,1613-981X
DOI: 10.1007/s10260-004-0097-z