7. Wavelets for Regression and Other Statistical Problems

  1. Michael G. Schimek
  1. Guy P. Nason and
  2. Bernard W. Silverman

Published Online: 30 JAN 2012

DOI: 10.1002/9781118150658.ch7

Smoothing and Regression: Approaches, Computation, and Application

Smoothing and Regression: Approaches, Computation, and Application

How to Cite

Nason, G. P. and Silverman, B. W. (2000) Wavelets for Regression and Other Statistical Problems, in Smoothing and Regression: Approaches, Computation, and Application (ed M. G. Schimek), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118150658.ch7

Editor Information

  1. Karl-Franzens-University of Graz, Austria, and University of Vienna, Austria

Author Information

  1. Department of Mathematics, University of Bristol, Bristol, UK

Publication History

  1. Published Online: 30 JAN 2012
  2. Published Print: 24 JUL 2000

ISBN Information

Print ISBN: 9780471179467

Online ISBN: 9781118150658

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Keywords:

  • wavelet expansions;
  • discrete wavelet transform;
  • wavelet shrinkage;
  • correlated noise;
  • wavelet software

Summary

This chapter contains sections titled:

  • Introduction

  • Wavelet Expansions

  • The Discrete Wavelet Transform in S

  • Wavelet Shrinkage

  • Estimators for Data With Correlated Noise

  • Implementation of the Wavelet Transform

  • How to Obtain and Install the Wavelet Software