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- W195966467 abstract "We develop a closed form asymptotic formula 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 likelihood." @default.
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- W195966467 date "2002-08-01" @default.
- W195966467 modified "2023-09-27" @default.
- W195966467 title "Asymptotic model selection for naive Bayesian networks" @default.
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