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PARTIAL INTRINSIC BAYES FACTOR  

Joo Y. (Division of Biostatistics, University of Florida)
Casella G. (Department of Statistics, University of Florida)
Publication Information
Journal of the Korean Statistical Society / v.35, no.3, 2006 , pp. 261-280 More about this Journal
Abstract
We have developed a new model selection criteria, the partial intrinsic Bayes factor, which is designed for cases when we select a model among a small number of candidate models. For example, we can choose only a few candidate models after exploring scatter plots. By simulation study, we have showed that PIBF performs better than AIC, BIC and GCV.
Keywords
Bayes factor; intrinsic Bayes factor; Bayesian model selection;
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