On the foundations of parameter estimation for generalized partial linear models with B-splines and continuous optimization

Computers and Mathematics with Applications

Volumn 60, Issue 1, 2010, Pages 134-143

  Taylan, Pakize ^a   Weber, Gerhard Wilhelm ^b   Liu, Lian ^c   Yerlikaya Özkurt, Fatma ^b  

^a DICLE UNIVERSITY   (Turkey)

^b MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^c Roche Product Development in Asia Pacific   (China)

Author keywords

CMARS; Conic quadratic programming; Generalized partial linear models; Maximum likelihood; Penalty methods

Indexed keywords

B SPLINES; CONIC QUADRATIC PROGRAMMING; CONTINUOUS OPTIMIZATION; COVARIATES; GENERALIZED LINEAR MODEL; ITERATIVELY REWEIGHTED LEAST SQUARES; NON-PARAMETRIC; NUMERICAL EXAMPLE; PARTIAL LINEAR MODELS; PENALIZED MAXIMUM LIKELIHOOD; PENALTY METHODS; PENALTY PARAMETERS; PROBLEM-BASED; SEMIPARAMETRIC; STATISTICAL TECHNIQUES;

MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; QUADRATIC PROGRAMMING; SPLINES;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 77953127430     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2010.04.040     Document Type: Article

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