Distance-based local linear regression for functional predictors

DOI10.1016/j.csda.2009.09.010zbMath1464.62031OpenAlexW2053405161MaRDI QIDQ962273

Josep Fortiana, Eva Boj, Pedro F. Delicado

Publication date: 6 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2009.09.010

Mathematics Subject Classification ID

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

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Uses Software

• fda (R)
• ElemStatLearn

Cites Work

• Unnamed Item
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• Local linear regression for functional data
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• Selection of components and degrees of smoothing via Lasso in high dimensional nonparametric additive models
• Metric and Euclidean properties of dissimilarity coefficients
• The proximity of an individual to a population with applications in discriminant analysis
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Modern multidimensional scaling. Theory and applications.
• Selection of Predictors in Distance-Based Regression
• On the Early History of the Singular Value Decomposition
• Some computational aspects of a distance—based model for prediction
• NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS
• Adding a point to vector diagrams in multivariate analysis
• All of Nonparametric Statistics

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