Wavelet Regression Estimation in Nonparametric Mixed Effect Models (Articolo in rivista)

Type
Label
  • Wavelet Regression Estimation in Nonparametric Mixed Effect Models (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Angelini C., De Canditiis D., Leblanc F. (2003)
    Wavelet Regression Estimation in Nonparametric Mixed Effect Models
    in Journal of Multivariate Analysis (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Angelini C., De Canditiis D., Leblanc F. (literal)
Pagina inizio
  • 267 (literal)
Pagina fine
  • 291 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 85 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Titolo
  • Wavelet Regression Estimation in Nonparametric Mixed Effect Models (literal)
Abstract
  • We show that a nonparametric estimator of a regression function, obtained as solution of a specific regularization problem is the bestlinear unbiased predictor in some nonparametric mixed effect model. Since this estimator is intractable from a numerical point of view, we propose a tight approximation of it easy and fast to implement. This second estimator achieves the usual optimal rate of convergence of the mean integrated squared error over a Sobolev class both for equispaced and non equispaced design. Numerical experiments are presented both on simulated and ERP real data. (literal)
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