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Nonparametric Regression

  • Ronald Christensen
Part of the Springer Texts in Statistics book series (STS)

Abstract

In the late 1990’s, the orthogonal series approach to nonparametric regression became increasingly popular; see Hart (1997), Ogden (1997), and Efromovich (1999). In particular, wavelets provide orthogonal series in which many of the series elements have small support. This has been found useful in some applications. We discuss the orthogonal series approach to nonparametric regression in the context of fitting linear models.

Keywords

Regression Tree Nonparametric Regression Ridge Regression Haar Wavelet Estimate Regression Coefficient 
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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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueUSA

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