首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Nonparametric Wavelet Regression Based on Biased Data
Authors:Christophe Chesneau
Institution:Laboratoire de Mathématiques Nicolas Oresme, Université de Caen, Caen, France
Abstract:The estimation of the regression function in the biased nonparametric regression model is investigated. We propose and develop a new wavelet-based methodology for this problem. In particular, an adaptive hard thresholding wavelet estimator is constructed. Under mild assumptions on the model, we prove that it enjoys powerful mean integrated squared error properties over Besov balls.
Keywords:Biased regression estimation  Adaptivity  Wavelets  
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号