Regularized semiparametric model identification with application to nuclear magnetic resonance signal quantification with unknown macromolecular base-line

Journal of the Royal Statistical Society. Series B: Statistical Methodology

Volumn 68, Issue 3, 2006, Pages 383-409

  Sima, Diana M ^a,b   Van Huffel, Sabine ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b Katholieke Universiteit Leuven   (Belgium)

Author keywords

Non linear regression; Regularization; Semiparametric regression; Smoothing; Splines

Indexed keywords

EID: 33646691973     PISSN: 13697412     EISSN: 14679868     Source Type: Journal    
DOI: 10.1111/j.1467-9868.2006.00550.x     Document Type: Article

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