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

DOI10.1016/j.camwa.2010.04.040zbMath1198.62071OpenAlexW1999651608MaRDI QIDQ604054

Pakize Taylan, Fatma Yerlikaya Özkurt, Lian Liu, Gerhard-Wilhelm Weber

Publication date: 8 November 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2010.04.040

zbMATH Keywords

maximum likelihoodpenalty methodsCMARSconic quadratic programminggeneralized partial linear models

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Nonparametric estimation (62G05) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

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Uses Software

• LINPACK
• gamair

Cites Work

• A new approach to multivariate adaptive regression splines by using Tikhonov regularization and continuous optimization
• Multivariate adaptive regression splines
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology
• Generalized Linear Models with Random Effects
• A practical guide to splines.
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