Automatic and asymptotically optimal data sharpening for nonparametric regression
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Publication:730822
DOI10.1016/j.jspi.2009.05.006zbMath1183.62069OpenAlexW2118616699MaRDI QIDQ730822
Publication date: 1 October 2009
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2009.05.006
kernel smoothingasymptotic optimalityunbiased risk estimationdata sharpeningsharpening parameter selectionsmoothing parameter selection
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Cites Work
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- Bandwidth choice for nonparametric regression
- Asymptotic optimality of \(C_ L\) and generalized cross-validation in ridge regression with application to spline smoothing
- Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
- Estimation of the mean of a multivariate normal distribution
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Data sharpening methods for bias reduction in nonparametric regression.
- An Effective Bandwidth Selector for Local Least Squares Regression
- Asymptotically optimal difference-based estimation of variance in nonparametric regression
- Nonparametric estimation of residual variance revisited
- On nonparametric kernel density estimates
- On variance estimation in nonparametric regression
- The estimation of residual variance in nonparametric regression
- High Order Data Sharpening for Density Estimation
- Theory & Methods: Data Sharpening for Hazard Rate Estimation
- Spectral Density Estimation Using Sharpened Periodograms
- Miscellanea. Data sharpening as a prelude to density estimation
- All Admissible Linear Estimates of the Mean Vector
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