Convergence rates of wavelet estimators in semiparametric regression models under NA samples

2012 ◽  
Vol 33 (4) ◽  
pp. 609-624 ◽  
Author(s):  
Hongchang Hu ◽  
Li Wu
Keyword(s):  
Regression Models ◽  
Convergence Rates ◽  
Semiparametric Regression ◽  
Wavelet Estimators

Wavelet regression estimation over Lp risk based on negatively associated sample

2020 ◽  
Vol 18 (04) ◽  
pp. 2050024
Author(s):  
Huijun Guo ◽  
Junke Kou
Keyword(s):  
Convergence Rates ◽  
Regression Function ◽  
Regression Estimation ◽  
Negatively Associated ◽  
Wavelet Regression ◽  
Nonparametric Regression Estimation ◽  
Independent Case ◽  
Optimal Convergence Rates ◽  
Negatively Associated Sample ◽  
Wavelet Estimators

This paper considers wavelet estimations of a regression function based on negatively associated sample. We provide upper bound estimations over [Formula: see text] risk of linear and nonlinear wavelet estimators in Besov space, respectively. When the random sample reduces to the independent case, our convergence rates coincide with the optimal convergence rates of classical nonparametric regression estimation.

scholarly journals Efficiency of a Liu-type estimator in semiparametric regression models

2011 ◽  
Vol 235 (5) ◽  
pp. 1418-1428 ◽  
Author(s):  
Esra Akdeniz Duran ◽  
Fikri Akdeniz ◽  
Hongchang Hu
Keyword(s):  
Regression Models ◽  
Semiparametric Regression
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