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Spectral View of Wavelets and Nonlinear Regression

  • J. S. Marron
Part of the Lecture Notes in Statistics book series (LNS, volume 141)

Abstract

This chapter reviews one of the most widespread uses of wavelets in statistics: nonlinear nonparametric regression. Simple insight into the utility and power of the wavelet approach comes from a discrete spectral analysis point of view. Some of the ideas here are the same as some introduced in Chapter 1, but the different viewpoint is intended to give additional insights.

Keywords

Wavelet Base Nonparametric Regression Fourier Basis Wavelet Idea Hard Thresholding 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • J. S. Marron

There are no affiliations available

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