DOUBLE SMOOTHING ESTIMATION OF THE MULTIVARIATE REGRESSION FUNCTION IN NONPARAMETRIC REGRESSION
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Publication:4540730
DOI10.1081/STA-120002856zbMath1008.62570MaRDI QIDQ4540730
Ruey-Ching Hwang, Mei-Lien Ken
Publication date: 28 July 2002
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Cites Work
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- Bandwidth choice for nonparametric regression
- Optimal bandwidth selection in nonparametric regression function estimation
- Nonparametric regression analysis of longitudinal data
- Smoothing techniques. With implementation in S
- Exact mean integrated squared error
- Variable bandwidth and local linear regression smoothers
- On the role of the shrinkage parameter in local linear smoothing
- Choosing a kernel regression estimator. With comments and a rejoinder by the authors
- Multivariate locally weighted least squares regression
- Smoothing methods in statistics
- Local linear regression smoothers and their minimax efficiencies
- Smooth estimators of distribution and density functions
- Finite-Sample Variance of Local Polynomials: Analysis and Solutions
- Double smoothing for kernelestimators in nonparametric regression
- How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Design-adaptive Nonparametric Regression
- Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation
- Interpolation Methods for Adapting to Sparse Design in Nonparametric Regression
- Asymptotic properties of locally weighted regression ruey-ching hwang
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