The following pages link to (Q3736722):
Displaying 22 items.
- Integrated cross-validation for the random design nonparametric regression (Q558408) (← links)
- Multiparameter bandwidth processes and adaptive surface smoothing (Q689359) (← links)
- Bandwidth-based nonparametric inference (Q713763) (← links)
- Editorial to the special issue on applicable semiparametrics of computational statistics (Q740077) (← links)
- Bandwidth choice for nonparametric regression (Q760120) (← links)
- Nonparametric density estimation for multivariate bounded data (Q1036713) (← links)
- Approximations to the mean integrated squared error with applications to optimal bandwidth selection for nonparametric regression function estimators (Q1068436) (← links)
- Optimal bandwidth selection in nonparametric regression function estimation (Q1077110) (← links)
- Bandwidth choice for differentiation (Q1095530) (← links)
- Asymptotically optimal selection of a piecewise polynomial estimator of a regression function (Q1096279) (← links)
- Variable bandwidth kernel estimators of regression curves (Q1096989) (← links)
- Comparison of bandwidth selectors in nonparametric regression under dependence (Q1351550) (← links)
- Methodology for nonparametric regression from independent sources (Q1390964) (← links)
- An alternative bandwidth selection method for estimating functional coefficient models (Q1673516) (← links)
- Cross-validation in nonparametric regression with outliers (Q2368855) (← links)
- SURE-optimal bandwidth selection in nonparametric regression (Q2817739) (← links)
- BIASED CROSS-VALIDATION IN A KERNEL REGRESSION ESTIMATION (Q3457663) (← links)
- Asymptotic nonequivalence of some bandwidth selectors in nonparametric regression (Q3687515) (← links)
- Optimal Fixing of the Bandwidth-Parameter for the Empirical Regression1,2 (Q3703142) (← links)
- How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum? (Q3787299) (← links)
- Bandwidth selection for nonparametric modal regression (Q5085910) (← links)
- Estimation of the bandwidth parameter in Nadaraya-Watson kernel non-parametric regression based on universal threshold level (Q6171871) (← links)
