Pages that link to "Item:Q3613161"
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The following pages link to Reducing variability of crossvalidation for smoothing-parameter choice (Q3613161):
Displaying 15 items.
- On discrete Epanechnikov kernel functions (Q1658406) (← links)
- Improving cross-validated bandwidth selection using subsampling-extrapolation techniques (Q1663252) (← links)
- A general class of linearly extrapolated variance estimators (Q2018615) (← links)
- Computational efficiency of bagging bootstrap bandwidth selection for density estimation with big data (Q2087094) (← links)
- Optimality of training/test size and resampling effectiveness in cross-validation (Q2317259) (← links)
- Cross-validated bagged learning (Q2474238) (← links)
- Reducing variability using bootstrap methods with qualitative constraints (Q2739338) (← links)
- Variance reduction by smoothing revisited (Q2879482) (← links)
- Performance of robust GCV and modified GCV for spline smoothing (Q2911706) (← links)
- A weighted least-squares cross-validation bandwidth selector for kernel density estimation (Q4976223) (← links)
- (Q4998891) (← links)
- Subsampling-extrapolation bandwidth selection in bivariate kernel density estimation (Q5107419) (← links)
- Comments on ``Data science, big data and statistics'' (Q5970973) (← links)
- Extrapolation‐based Bandwidth Selectors: A Review and Comparative Study with Discussion on Bivariate Applications (Q6086610) (← links)
- Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies (Q6157140) (← links)