Bias and Variance Reduction in Estimation of Model Dimension
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Publication:4318361
DOI10.2307/2161197zbMath0827.62058OpenAlexW4247344476MaRDI QIDQ4318361
Publication date: 2 January 1995
Full work available at URL: https://doi.org/10.2307/2161197
model selectionasymptotic biascross-validationbootstrappingfinal prediction errorAkaike's criterionreduced biasmean-squared errorsfinite-sample estimatesnumber of regressorsshrinkage correction factors
Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric statistical resampling methods (62G09)
Cites Work
- A Combinatorial Lemma and Its Application to Probability Theory
- A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
- On the Distributional Properties of Model Selection Criteria
- Linear Model Selection by Cross-Validation
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