Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/62731
Title: Nonlinear wavelet estimation of conditional mean and conditional variance functions in stochastic regression
Authors: Wong, H 
Ip, WC
Li, Y
Keywords: Local polynomial
Conditional mean
Conditional variance
Optimal convergence rate
Threshold
Wavelets
Issue Date: 2000
Publisher: Pushpa Publishing House
Source: Far East journal of theoretical statistics, 2000, v. 4, no. 2, p. 257-284 How to cite?
Journal: Far East journal of theoretical statistics 
Abstract: Stochastic regression model with unknown conditional mean and conditional variance is considered in this paper. Under mild conditions, we propose nonlinear wavelet estimators of these functions based on local polynomial and wavelet thresholding. It is shown that the wavelet estimators attain the optimal convergence rate in a ball of Besov space. The adaptive nonlinear wavelet estimators with nearly optimal convergence rate in a ball of Besov space are also developed.
URI: http://hdl.handle.net/10397/62731
ISSN: 0972-0863
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