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Regression with Gaussian-Type Responses

  • Chong Gu
Part of the Springer Series in Statistics book series (SSS)

Abstract

For regression with Gaussian responses, L( f ) + (λ/2)J( f ) reduces to the familiar penalized least squares functional. Among topics of primary interest are the selection of smoothing parameters, the computation of the estimates, the asymptotic convergence of the estimates, and various data analytical tools.

Keywords

Smoothing Parameter Full Column Rank Model Check Tool Natural Spline Posterior Standard Deviation 
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 2002

Authors and Affiliations

  • Chong Gu
    • 1
  1. 1.Department of StatisticsPurdue UniversityWest LafayetteUSA

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