Asymptotic Model Selection for Naive Bayesian Networks
نویسندگان
چکیده
We develop a closed form asymptotic for mula to compute the marginal likelihood of data given a naive Bayesian network model with two hidden states and binary features. This formula deviates from the standard BIC score. Our work provides a concrete example that the BIC score is generally not valid for statistical models that belong to a stratified exponential family. This stands in contrast to linear and curved exponential families, where the BIC score has been proven to provide a correct approximation for the marginal like lihood.
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ورودعنوان ژورنال:
- Journal of Machine Learning Research
دوره 6 شماره
صفحات -
تاریخ انتشار 2002