A two-stage spline smoothing method for partially linear models
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Publication:1174648
DOI10.1016/0378-3758(91)90015-7zbMath0741.62039OpenAlexW2085166207MaRDI QIDQ1174648
Hung Chen, Jyh-Jen Horng Shiau
Publication date: 25 June 1992
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(91)90015-7
rate of convergenceadditive modelssemiparametric regressionbiasnonparametric componentsparametric componentsmoothing parameterspartial regressionefficient scorespartial spline estimatetwo-stage spline smoothing method
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Linear smoothers and additive models
- Convergence rates for partially splined models
- Convergence rates for parametric components in a partly linear model
- Oscillation matrices with spline smoothing
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Convergence rates for estimation in certain partially linear models
- Rates of convergence of some estimators for a semiparametric model
- Two Diagnostic Displays for Robust Regression Analysis
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