Estimating the Kullback–Liebler risk based on multifold cross‐validation
From MaRDI portal
Publication:6063607
DOI10.1111/stan.12070MaRDI QIDQ6063607
Publication date: 12 December 2023
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11390/1066935
Cites Work
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- Optimal cross-validation in density estimation with the \(L^{2}\)-loss
- Estimation of prediction error by using \(K\)-fold cross-validation
- Bias correction of cross-validation criterion based on Kullback-Leibler information under a general condition
- A survey of cross-validation procedures for model selection
- Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
- Corrected versions of cross-validation criteria for selecting multivariate regression and growth curve models
- Model selection via multifold cross validation
- Consistency of cross validation for comparing regression procedures
- Iterative Bias Correction of the Cross-Validation Criterion
- Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
- Cross-Validation of Regression Models
- Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
- How Biased is the Apparent Error Rate of a Prediction Rule?
- A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
- The Predictive Sample Reuse Method with Applications
- Asymptotics for and against cross-validation
- A Predictive Approach to Model Selection
- Generalised information criteria in model selection
- Model Selection and Multimodel Inference
- The Relationship between Variable Selection and Data Agumentation and a Method for Prediction
- Linear Model Selection by Cross-Validation