Exact risk approaches to smoothing parameter selection
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Publication:4375428
DOI10.1080/10485259708832729zbMath0934.62034OpenAlexW2098889486MaRDI QIDQ4375428
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Publication date: 27 April 2000
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259708832729
smoothing splinecross-validationbandwidth selectionkernel estimatorcorrelated errorspartially linear modeldouble smoothing
Related Items (3)
Automatic Smoothing and Estimation in Single Index Poisson Regression ⋮ Bandwidth selection for local linear regression ⋮ An effective method for selecting the number of components in density mixtures
Cites Work
- Fast and simple scatterplot smoothing
- Nonparametric regression using Bayesian variable selection
- Smoothed cross-validation
- A simple root \(n\) bandwidth selector
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Asymptotically best bandwidth selectors in kernel density estimation
- A comparative study of several smoothing methods in density estimation
- An Effective Bandwidth Selector for Local Least Squares Regression
- A Brief Survey of Bandwidth Selection for Density Estimation
- On optimal and data-based histograms
- Efficiency of a Kernel Density Estimator Under an Autoregressive Dependence Model
- On the use of pilot estimators in bandwidth selection
- Frequency Polygons: Theory and Application
- How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
- Local Bandwidth Selection for Kernel Estimates
- Bootstrap choice of the smoothing parameter in kernel density estimation
- Scale measures for bandwidth selection
- Regression Smoothing Parameters That Are Not Far From Their Optimum
- On partial local smoothing rules for curve estimation
- Some Comments on C P
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