Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

Watanabe, S. (2010). Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory.

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Unclassified

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Unclassified

Year

2010

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Domain-specific

• Widely applicable information criterion
  • Pointwise factorization, posterior draws and scale convention must be explicit, finite-sample estimates can be unstable and lower deviance-scale WAIC is only comparative.

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Registry ID ref:054045112156 · see in the full table