An Asymptotic Equivalence of Choice of Model by Cross-Validation and Akaike's Criterion
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ID: 295442
1977
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Abstract
Summary A logarithmic assessment of the performance of a predicting density is found to lead to asymptotic equivalence of choice of model by cross-validation and Akaike's criterion, when maximum likelihood estimation is used within each model.
| Reference Key |
openalex_W55848811
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|---|---|
| Authors | M. Stone |
| Journal | Journal of the Royal Statistical Society Series B (Statistical Methodology) |
| Year | 1977 |
| DOI |
10.1111/j.2517-6161.1977.tb01603.x
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| URL | |
| Keywords | Keywords not found |
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