Pages that link to "Item:Q1394765"
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The following pages link to Model selection in nonparametric regression (Q1394765):
Displaying 44 items.
- Estimator selection in the Gaussian setting (Q141397) (← links)
- Model selection in reinforcement learning (Q415618) (← links)
- Estimator selection with respect to Hellinger-type risks (Q644788) (← links)
- Generalized mirror averaging and \(D\)-convex aggregation (Q734528) (← links)
- On cross-validated Lasso in high dimensions (Q820794) (← links)
- A randomized algorithm for nonlinear model structure selection (Q900226) (← links)
- Learning by mirror averaging (Q955138) (← links)
- A survey of cross-validation procedures for model selection (Q975579) (← links)
- SPADES and mixture models (Q988014) (← links)
- A universal procedure for aggregating estimators (Q1002171) (← links)
- Evaluation and selection of models for out-of-sample prediction when the sample size is small relative to the complexity of the data-generating process (Q1002545) (← links)
- Model selection for regression on a fixed design (Q1584537) (← links)
- Localization of VC classes: beyond local Rademacher complexities (Q1663641) (← links)
- A new approach to estimator selection (Q1708984) (← links)
- Minimax-rate adaptive nonparametric regression with unknown correlations of errors (Q1729945) (← links)
- Model selection for Gaussian regression with random design (Q1763101) (← links)
- Consistent covariate selection and post model selection inference in semiparametric regression. (Q1879925) (← links)
- Aggregated hold out for sparse linear regression with a robust loss function (Q2136632) (← links)
- Aggregation of estimators and stochastic optimization (Q2197367) (← links)
- Aggregation using input-output trade-off (Q2317264) (← links)
- Nonparametric estimation of low rank matrix valued function (Q2326073) (← links)
- Adaptive estimation over anisotropic functional classes via oracle approach (Q2352739) (← links)
- Model selection criteria based on Kullback information measures for nonlinear regression (Q2386146) (← links)
- Aggregation for Gaussian regression (Q2456016) (← links)
- Consistency of cross validation for comparing regression procedures (Q2473071) (← links)
- Model selection for regression on a random design (Q3150221) (← links)
- Statistical choice of non-separated one-parameter models (Q3357346) (← links)
- Theory of Classification: a Survey of Some Recent Advances (Q3373749) (← links)
- (Q3533306) (← links)
- LOCALIZED MODEL SELECTION FOR REGRESSION (Q3632386) (← links)
- Régression non paramétrique: une approche générale du problème de sélection automatique de modèle (Q4238009) (← links)
- Estimation and selection procedures in regression: an<i>L</i><sub>1</sub>approach (Q4546737) (← links)
- Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases (Q4578060) (← links)
- Two-stage model selection procedures in partially linear regression (Q4652913) (← links)
- Data-Driven Model Choice in Multivariate Nonparametric Regression (Q4806329) (← links)
- Model selection in regression based on pre-smoothing (Q5123630) (← links)
- (Q5159462) (← links)
- Model selection and estimation of a component in additive regression (Q5174344) (← links)
- Model selection in nonparametric hazard regression (Q5297085) (← links)
- Model-Free Variable Selection (Q5313590) (← links)
- (Q5694887) (← links)
- Sparse estimation by exponential weighting (Q5965309) (← links)
- Theory of adaptive estimation (Q6200220) (← links)
- Benign overfitting and adaptive nonparametric regression (Q6582360) (← links)
