The empirical performances of the selection criteria for nonparametric regression using smoothing spline


Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics, CIMMACS '06, Venice, Italy, 20 - 22 November 2006, vol.1, pp.228-233 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: Venice
  • Country: Italy
  • Page Numbers: pp.228-233
  • Keywords: Nonparametric regression, Selection criteria, Smoothing parameter, Smoothing spline
  • Anadolu University Affiliated: Yes


In this paper, the smoothing parameter selection problem has been examined in nonparametric regression using smoothing spline method for different data sets. For that reason a Monte Carlo simulation study has been performed with a program that coded in MATLAB. This simulation study provides a comparison of the five popular smoothing parameter selection criteria. Thus, the emprical performances of the five selection criteria have been investigated and suitable criteria, which used for smoothing parameter selection, have been obtained.