Better subset regression using the nonnegative garrote
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- Type
- article
- Published
- 1995-11-30
- Cited by
- 1,147
- References
- 18
- OpenAlex
- https://openalex.org/W2070094080
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:123655029
Keywords
Regression, Ridge, Mathematics, Selection (genetic algorithm), Regression analysis
References
- Prediction error and its estimation for subset-selected models
- A Simulation of Biased Estimation and Subset Selection Regression Techniques
- A Critique of Some Ridge Regression Methods
- FLEXIBLE PARSIMONIOUS SMOOTHING AND ADDITIVE MODELING
- Estimating Optimal Transformations for Multiple Regression and Correlation.
- Exploring Partial Residual Plots
- Solving least squares problems
- A Statistical View of Some Chemometrics Regression Tools
- Regression Estimators: A Comparative Study
- The Little Bootstrap and other Methods for Dimensionality Selection in Regression: X-Fixed Prediction Error
- Submodel selection and evaluation in regression. The X-random case
- Regression Shrinkage and Selection via the Lasso
- Model Selection Via Multifold Cross Validation
- [Flexible Parsimonious Smoothing and Additive Modeling]: Discussion
- Subset Selection in Regression
- [A Statistical View of Some Chemometrics Regression Tools]: Response
- [A Statistical View of Some Chemometrics Regression Tools]: Discussion
- Fitting Equations to Data.
- Subset Selection in Regression
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- Statistical Adjustments to Engineering Models
- The Precision Efficacy Analysis for Regression Sample Size Method.
- Model selection and estimation in additive regression models
- Penalization Methods for Group Identification and Variable Selection in Models with Correlated Predictors
- Quelques contributions à la sélection de variables et aux tests non-paramétriques
- Penalized methods in genome-wide association studies
- Automatic Prediction and Model Selection
- Learning from environmental data : methods for analysis of forest nutrition time series
- Variable Selection Via Subtle Uprooting
- Survival Analysis of Microarray Data With Microarray Measurement Subject to Measurement Error
- Orthogonalizing Penalized Regression
- Sparse Model Identification for High Dimensional Data.
- VARIABLE SELECTION AND COEFFICIENT ESTIMATION VIA REGULARIZED RANK REGRESSION
- Boosting methods for variable selection in high dimensional sparse models
- Cost-efficient Variable Selection Using Branching LARS
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