Strong Uniform Convergence Rates in Robust Nonparametric Time Series Analysis and Prediction: Kernel
暂无分享,去创建一个
[1] G. Collomb. Propriétés de convergence presque complète du prédicteur à noyau , 1984 .
[2] W. Härdle,et al. Uniform Consistency of a Class of Regression Function Estimators , 1984 .
[3] W. Härdle. Robust regression function estimation , 1984 .
[4] D. Bosq. Sur la prédiction non paramétrique de variables aléatoires et de mesures aléatoires , 1983 .
[5] P. Robinson. NONPARAMETRIC ESTIMATORS FOR TIME SERIES , 1983 .
[6] B. Silverman,et al. Weak and strong uniform consistency of kernel regression estimates , 1982 .
[7] W. Stute. A Law of the Logarithm for Kernel Density Estimators , 1982 .
[8] L. Devroye. On the Almost Everywhere Convergence of Nonparametric Regression Function Estimates , 1981 .
[9] S. Yakowitz. Nonparametric Estimation of Markov Transition Functions , 1979 .
[10] P. Billingsley,et al. Convergence of Probability Measures , 1970, The Mathematical Gazette.
[11] G. Roussas. Nonparametric Estimation of the Transition Distribution Function of a Markov Process , 1969 .
[12] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[13] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[14] Thomas M. Stoker. Equivalence of direct and indirect estimators of average derivatives , 1987 .
[15] G. Collomb. Jfon parametric time series analysis and prediction: uniform almost sure convergence of the window and jt-nn autoregression estimates , 1985 .
[16] P. Robinson. Robust Nonparametric Autoregression , 1984 .
[17] H. Liero. On the maximal deviation of the kernel regression function estimate , 1982 .
[18] P. Tuan. Nonparametric estimation of the drift coefficient in the diffusion equation , 1981 .
[19] H. Müller,et al. Kernel estimation of regression functions , 1979 .
[20] I. Ibragimov,et al. Independent and stationary sequences of random variables , 1971 .
[21] G. S. Watson,et al. Smooth regression analysis , 1964 .
[22] E. Nadaraya. On Estimating Regression , 1964 .
[23] J. Doob. Stochastic processes , 1953 .