论文信息 - Boundary modification for kernel regression

Boundary modification for kernel regression

We present a simple and effective method of modifying a kernel regression estimate near the boundary. The modification ensures that the bias and variance near the boundary are of the same order of magnitude as in the interior.

R. John | Rice John

[1] Theo Gasser,et al. Smoothing Techniques for Curve Estimation , 1979 .

[2] V. A. Epanechnikov. Non-Parametric Estimation of a Multivariate Probability Density , 1969 .

[3] M. Rosenblatt,et al. Smoothing Splines: Regression, Derivatives and Deconvolution , 1983 .

[4] Åke Björck,et al. Numerical Methods , 1995, Handbook of Marine Craft Hydrodynamics and Motion Control.

[5] G. S. Watson,et al. Smooth regression analysis , 1964 .

[6] E. Nadaraya. On Estimating Regression , 1964 .

[7] G. Collomb. Estimation Non-paramétrique de la Régression: Revue Bibliographique@@@Estimation Non-parametrique de la Regression: Revue Bibliographique , 1981 .