The following pages link to (Q4322328):
Displaying 12 items.
- Nonparametric relative recursive regression (Q828048) (← links)
- Estimation in hazard regression models under ordered departures from proportionality (Q957030) (← links)
- A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density (Q1623642) (← links)
- Inference for sparse and dense functional data with covariate adjustments (Q1733292) (← links)
- Asymptotic comparison of (partial) cross-validation, GCV and randomized GCV in nonparametric regression (Q1807078) (← links)
- Bandwidth matrix selectors for kernel regression (Q2403402) (← links)
- A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation (Q2630081) (← links)
- Bayesian bandwidth estimation for local linear fitting in nonparametric regression models (Q2700530) (← links)
- Multiscale Methods for Data on Graphs and Irregular Multidimensional Situations (Q3551033) (← links)
- Kernel estimation of regression function gradient (Q5085565) (← links)
- Plug-in bandwidth choice in partial linear models with autoregressive errors (Q5956233) (← links)
- A framework to select tuning parameters for nonparametric derivative estimation (Q6625456) (← links)
