The following pages link to On boosting kernel regression (Q1031760):
Displaying 13 items.
- Boosting algorithms: regularization, prediction and model fitting (Q449780) (← links)
- Kernel regression estimators for nonparametric model calibration in survey sampling (Q538216) (← links)
- Iterative bias reduction: a comparative study (Q746347) (← links)
- Boosting local quasi-likelihood estimators (Q904088) (← links)
- Marginal integration for nonparametric causal inference (Q908271) (← links)
- An improved kernel regression method based on Taylor expansion (Q990620) (← links)
- Boosting as a kernel-based method (Q2331677) (← links)
- A geometrical approach to iterative isotone regression (Q2396476) (← links)
- Nonparametric Regression Based Image Analysis (Q2787370) (← links)
- The package: nonparametric regression using local rotation matrices in (Q3389601) (← links)
- Nonparametric Rotations for Sphere-Sphere Regression (Q5229928) (← links)
- Algorithmic Learning Theory (Q5464487) (← links)
- A new kernel regression approach for robustified <i>L</i> <sub>2</sub> boosting (Q6641333) (← links)