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                                       Details for article 8 of 14 found articles
 
 
  MDL Mean Function Selection in Semiparametric Kernel Regression Models
 
 
Title: MDL Mean Function Selection in Semiparametric Kernel Regression Models
Author: De Gooijer, Jan G.
Yuan, Ao
Appeared in: Communications in statistics
Paging: Volume 37 (2008) nr. 14 pages 2237-2248
Year: 2008-01
Contents: We study the problem of selecting the optimal functional form among a set of non nested, nonlinear mean functions for a semiparametric kernel based regression model. To this end we consider Rissanen's minimum description length (MDL) principle. We prove the consistency of the proposed MDL criterion. Its performance is examined via simulated data sets of univariate and bivariate nonlinear regression models.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 14 found articles
 
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