Weak and strong uniform consistency of kernel regression estimates
暂无分享,去创建一个
[1] M. Rosenblatt. Remarks on a Multivariate Transformation , 1952 .
[2] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[3] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[4] E. Nadaraya. On Estimating Regression , 1964 .
[5] G. S. Watson,et al. Smooth regression analysis , 1964 .
[6] E. Nadaraya. Remarks on Non-Parametric Estimates for Density Functions and Regression Curves , 1970 .
[7] A. Garsia. Continuity properties of Gaussian processes with multidimensional time parameter , 1972 .
[8] Eugene F. Schuster,et al. Joint Asymptotic Distribution of the Estimated Regression Function at a Finite Number of Distinct Points , 1972 .
[9] P. Bickel,et al. On Some Global Measures of the Deviations of Density Function Estimates , 1973 .
[10] P. Major,et al. An approximation of partial sums of independent RV'-s, and the sample DF. I , 1975 .
[11] R. Reiss. Consistency of a certain class of empirical density functions , 1975 .
[12] P. Révész,et al. A new method to prove strassen type laws of invariance principle. 1 , 1975 .
[13] P. K. Bhattacharya. An Invariance Principle in Regression Analysis , 1976 .
[14] Kazuo Noda,et al. Estimation of a regression function by the parzen kernel-type density estimators , 1976 .
[15] M. Rosenblatt,et al. On the Maximal Deviation of $k$-Dimensional Density Estimates , 1976 .
[16] Bernard Walter Silverman. On a Gaussian process related to multivariate probability density estimation , 1976, Mathematical Proceedings of the Cambridge Philosophical Society.
[17] P. Révész. On Strong Approximation of the Multidimensional Empirical Process , 1976 .
[18] C. J. Stone,et al. Consistent Nonparametric Regression , 1977 .
[19] G. Tusnády,et al. A remark on the approximation of the sample df in the multidimensional case , 1977 .
[20] L. Devroye. The uniform convergence of the nadaraya‐watson regression function estimate , 1978 .
[21] V. Konakov. On a Global Measure of Deviation for an Estimate of the Regression Line , 1978 .
[22] B. Silverman,et al. Weak and Strong Uniform Consistency of the Kernel Estimate of a Density and its Derivatives , 1978 .
[23] Gordon J. Johnston. Smooth Nonparametric Regression Analysis. , 1979 .
[24] S. Yakowitz,et al. Contributions to the Theory of Nonparametric Regression, with Application to System Identification , 1979 .
[25] H. Müller,et al. Kernel estimation of regression functions , 1979 .
[26] R. Taylor,et al. On the uniform complete convergence of estimates for multivariate density functions and regression curves , 1980 .
[27] P. Hall. Laws of the iterated logarithm for nonparametric density estimators , 1981 .
[28] G. Collomb. Estimation Non-paramétrique de la Régression: Revue Bibliographique@@@Estimation Non-parametrique de la Regression: Revue Bibliographique , 1981 .
[29] Y. Mack,et al. Local Properties of k-NN Regression Estimates , 1981 .
[30] W. Stute. A Law of the Logarithm for Kernel Density Estimators , 1982 .