Weighted Wavelet Estimate in Semiparametric Models with Heteroscedastic Errors

DOI

10.2991/iccasm.2012.202How to use a DOI?

Keywords

Semiparametric regression model, Wavelet estimate, Asymptotic normality, Weak consistence rates, Heteroscedastic error

Abstract

Using wavelet smoothing method, we consider the semiparametric regression model with independent heteroscedastic errors. We investigate the asymptotic normality and weak consistence rates of wavelet estimators.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenjing Cheng
PY  - 2012/08
DA  - 2012/08
TI  - Weighted Wavelet Estimate in Semiparametric Models with Heteroscedastic Errors
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 798
EP  - 801
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.202
DO  - 10.2991/iccasm.2012.202
ID  - Cheng2012/08
ER  -