Functional regression modeling via regularized Gaussian basis expansions

Annals of the Institute of Statistical Mathematics

Volumn 61, Issue 4, 2009, Pages 811-833

  Araki, Yuko ^a   Konishi, Sadanori ^b   Kawano, Shuichi ^b   Matsui, Hidetoshi ^b  

^a KURUME UNIVERSITY   (Japan)

^b KYUSHU UNIVERSITY   (Japan)

Author keywords

Functional regression modeling; Gaussian basis function; Regularization; Smoothing parameter selection

Indexed keywords

BASIS FUNCTIONS; EVALUATING MODELS; FUNCTIONAL DATA ANALYSIS; FUNCTIONAL FORMS; FUNCTIONAL REGRESSION; FUNCTIONAL REGRESSION MODELING; GAUSSIAN BASIS FUNCTION; GAUSSIAN BASIS FUNCTIONS; GAUSSIANS; METHOD OF REGULARIZATION; MODEL SELECTION CRITERIA; MODELING STRATEGY; MONTE CARLO SIMULATION; REGULARIZATION; REGULARIZATION PARAMETERS; SCALAR RESPONSE; SIMULATION RESULT; SMOOTHING PARAMETER SELECTION; TEMPERATURE DATA;

MONTE CARLO METHODS; SIMULATORS;

REGRESSION ANALYSIS;

EID: 70249151232     PISSN: 00203157     EISSN: 15729052     Source Type: Journal    
DOI: 10.1007/s10463-007-0161-1     Document Type: Article

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