Partial Intrinsic Bayes Factor
نویسنده
چکیده
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. Based on this motivation, the partial intrinsic Bayes factor is developed. By simulation study, we showed that PIBF performs better than AIC, BIC, and GCV .
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تاریخ انتشار 2006