Distribution-free consistency of kernel non-parametric M-estimators
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[1] Ricardo Cao,et al. Nonparametric Density Estimation , 2013 .
[2] E. F. Schuster,et al. On a universal strong law of large numbers for conditional expectations , 1998 .
[3] L. Györfi,et al. On the strong universal consistency of a recursive regression estimate by Pál Révész , 1997 .
[4] G. Lugosi,et al. On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates , 1994 .
[5] M. C. Jones,et al. Adaptive M -estimation in nonparametric regression , 1990 .
[6] Ricardo Fraiman,et al. Robust nonparametric regression estimation , 1989 .
[7] Wolfgang Härdle,et al. Strong uniform consistency rates for estimators of conditional functionals , 1988 .
[8] A. Tsybakov,et al. Robust nonparametric regression with simultaneous scale curve estimation , 1988 .
[9] A. Krzyżak,et al. Distribution-Free Pointwise Consistency of Kernel Regression Estimate , 1984 .
[10] Daniel H. Wagner. Survey of Measurable Selection Theorems , 1977 .
[11] C. J. Stone,et al. Consistent Nonparametric Regression , 1977 .
[12] P. J. Huber. Robust Estimation of a Location Parameter , 1964 .
[13] László Györfi,et al. A Probabilistic Theory of Pattern Recognition , 1996, Stochastic Modelling and Applied Probability.
[14] Jianqing Fan,et al. Local polynomial modelling and its applications , 1994 .
[15] A. Tsybakov,et al. Robust locally adaptive nonparametric regression , 1990 .
[16] Daniel H. Wagner. Survey of measurable selection theorems: An update , 1980 .
[17] P. J. Huber. The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .