BIC is a sub-model selection procedure. For an observation y R n y R n
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BIC is a sub-model selection procedure. For an observation y∈Rn, BIC adds the penalty −12dlogn to the maximized log likelihood for sub-models of dimension d. Deduce from the preceding example that this version of BIC cannot be a Bayes procedure.
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