Kernel smoothing in partial linear models

On considere deux methodes d'estimation: l'une reliee aux splines de lissage partiels, l'autre motivee par une analyse de residus partielle

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

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

[3]  G. Stewart Introduction to matrix computations , 1973 .

[4]  G. Wahba Smoothing noisy data with spline functions , 1975 .

[5]  C. J. Stone,et al.  Consistent Nonparametric Regression , 1977 .

[6]  Jerome Sacks,et al.  LINEAR ESTIMATION FOR APPROXIMATELY LINEAR MODELS , 1978 .

[7]  R. Tapia,et al.  Nonparametric Probability Density Estimation , 1978 .

[8]  Peter Craven,et al.  Smoothing noisy data with spline functions , 1978 .

[9]  Werner Stuetzle,et al.  Some comments on the asymptotic behavior of robust smoothers , 1979 .

[10]  H. Müller,et al.  Kernel estimation of regression functions , 1979 .

[11]  Irwin Guttman,et al.  Incorporating Overlap Effects from Neighbouring Units into Response Surface Models , 1980 .

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

[13]  C. J. Stone,et al.  Optimal Global Rates of Convergence for Nonparametric Regression , 1982 .

[14]  R. Shiller,et al.  Smoothness Priors and Nonlinear Regression , 1982 .

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

[16]  J. Rice Bandwidth Choice for Nonparametric Regression , 1984 .

[17]  R. John,et al.  Boundary modification for kernel regression , 1984 .

[18]  Peter Green Linear models for field trials, smoothing and cross-validation , 1985 .

[19]  B. Silverman,et al.  Some Aspects of the Spline Smoothing Approach to Non‐Parametric Regression Curve Fitting , 1985 .

[20]  M. Nussbaum Spline Smoothing in Regression Models and Asymptotic Efficiency in $L_2$ , 1985 .

[21]  H. Müller,et al.  Kernels for Nonparametric Curve Estimation , 1985 .

[22]  P. Speckman Spline Smoothing and Optimal Rates of Convergence in Nonparametric Regression Models , 1985 .

[23]  J. Friedman,et al.  Estimating Optimal Transformations for Multiple Regression and Correlation. , 1985 .

[24]  A. Seheult,et al.  Analysis of Field Experiments by Least Squares Smoothing , 1985 .

[25]  W. Härdle,et al.  Optimal Bandwidth Selection in Nonparametric Regression Function Estimation , 1985 .

[26]  Grace Wahba,et al.  Partial Spline Models for the Inclusion of Tropopause and Frontal Boundary Information in Otherwise Smooth Two- and Three-Dimensional Objective Analysis , 1986 .

[27]  R. Tibshirani,et al.  Generalized additive models for medical research , 1986, Statistical methods in medical research.

[28]  F. O’Sullivan A Statistical Perspective on Ill-posed Inverse Problems , 1986 .

[29]  R. Eubank A Note on Smoothness Priors and Nonlinear Regression , 1986 .

[30]  J. Rice Convergence rates for partially splined models , 1986 .

[31]  A. A. Weiss,et al.  Semiparametric estimates of the relation between weather and electricity sales , 1986 .

[32]  Hung Chen,et al.  Convergence Rates for Parametric Components in a Partly Linear Model , 1988 .

[33]  Nancy E. Heckman,et al.  Minimax Estimates in a Semiparametric Model , 1988 .