Pages that link to "Item:Q1416776"
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The following pages link to On the efficiency of selection criteria in spline regression (Q1416776):
Displaying 13 items.
- An improved \(C_p\) criterion for spline smoothing (Q710806) (← links)
- Is \(C_{p}\) an empirical Bayes method for smoothing parameter choice? (Q1423096) (← links)
- On the inference of applying Gaussian process modeling to a deterministic function (Q2074282) (← links)
- Asymptotic near-efficiency of the ``Gibbs-energy (GE) and empirical-variance'' estimating functions for fitting Matérn models. - II: accounting for measurement errors via ``Conditional GE mean'' (Q2173348) (← links)
- Performance criteria and discrimination of extreme undersmoothing in nonparametric regression (Q2250696) (← links)
- From finite sample to asymptotics: a geometric bridge for selection criteria in spline regression (Q2388332) (← links)
- Performance of robust GCV and modified GCV for spline smoothing (Q2911706) (← links)
- (Q2971563) (← links)
- Data-driven selection of the spline dimension in penalized spline regression (Q3168779) (← links)
- Some characteristics on the selection of spline smoothing parameter (Q4634819) (← links)
- A model-averaging approach for smoothing spline regression (Q5087515) (← links)
- Estimating the accuracy of (local) cross-validation via randomised GCV choices in kernel or smoothing spline regression (Q5189259) (← links)
- Two-stage signal restoration based on a modified median filter (Q5222318) (← links)
