Semi-parametric nonlinear regression and transformation using functional networks

DOI10.1016/J.CSDA.2007.07.006zbMath1452.62274OpenAlexW2001201621WikidataQ126212999 ScholiaQ126212999MaRDI QIDQ1023546

Ali S. Hadi, Beatriz Lacruz, Enrique F. Castillo, Rosa Eva Pruneda

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.07.006

zbMATH Keywords

Akaike information criterioncanonical correlationalternating conditional expectationconstrained least squaresadjusted correlation coefficientminimum description length measuretransforming both sides

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Functional data analysis (62R10) General nonlinear regression (62J02)

Related Items (2)

Model selection in kernel ridge regression ⋮ On multivariate order statistics. Application to ranked set sampling

Uses Software

• MINITAB
• Genocop

Cites Work

• Multivariate adaptive regression splines
• Hedonic housing prices and the demand for clean air
• Working with differential, functional and difference equations using functional networks
• Functional equations in applied sciences
• Estimating Optimal Transformations for Multiple Regression and Correlation
• Some Applications of Functional Networks in Statistics and Engineering
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