ON CONFIDENCE INTERVALS FOR GENERALIZED ADDITIVE MODELS BASED ON PENALIZED REGRESSION SPLINES

DOI10.1111/j.1467-842X.2006.00450.xzbMath1110.62042OpenAlexW2087844041MaRDI QIDQ3442931

Simon N. Wood

Publication date: 24 May 2007

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.2006.00450.x

zbMATH Keywords

GAMgeneralized cross validationgeneralized additive modelGCVpenalized regression splineBayesian confidence intervalmultiple smoothing parameters

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric tolerance and confidence regions (62F25) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

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Uses Software

• gss
• SemiPar

Cites Work

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