Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

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Weighted Wavelet Estimate in Semiparametric Models with Heteroscedastic Errors

Authors
Wenjing Cheng
Corresponding Author
Wenjing Cheng
Available Online August 2012.
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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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.202
ISSN
1951-6851
DOI
10.2991/iccasm.2012.202How to use a DOI?
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/).

Cite this article

risenwbib
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  -