Berry-Esseen bounds for wavelet estimator in a regression model with linear process errors
暂无分享,去创建一个
[1] A. Georgiev. Consistent nonparametric multiple regression: the fixed design case , 1988 .
[2] George G. Roussas,et al. Fixed design regression for time series: asymptotic normality , 1992 .
[3] A. Antoniadis,et al. Wavelet Methods for Curve Estimation , 1994 .
[4] S Yang. ALMOST SURE CONVERGENCE OF WEIGHTED SUMS OF MIXING SEQUENCES , 1995 .
[5] S. Yakowitz,et al. Fixed-design regression for linear time series , 1996 .
[6] Zhengyan Lin,et al. Limit Theory for Mixing Dependent Random Variables , 1997 .
[7] J. Mielniczuk,et al. Kernel density estimation for linear processes , 2002 .
[8] Shanchao Yang. Uniformly asymptotic normality of the regression weighted estimator for negatively associated samples , 2003 .
[9] Asymptotic properties of density estimates for linear processes: application of projection method , 2005 .
[10] Pointwise convergence rates and central limit theorems for kernel density estimators in linear processes , 2006 .
[11] Han-Ying Liang,et al. ASYMPTOTIC NORMALITY OF WAVELET ESTIMATOR OF REGRESSION FUNCTION UNDER NA ASSUMPTIONS , 2007 .
[12] Tae-Sung Kim,et al. Complete moment convergence of moving average processes under dependence assumptions , 2008 .
[13] Han-Ying Liang,et al. A BERRY-ESSEEN TYPE BOUND OF REGRESSION ESTIMATOR BASED ON LINEAR PROCESS ERRORS , 2008 .
[14] Andrei Volodin,et al. Limiting behaviour of moving average processes under φ-mixing assumption , 2009 .
[15] Xingcai Zhou. Complete moment convergence of moving average processes under [phi]-mixing assumptions , 2010 .