On the estimation error in binned local linear regression

DOI10.1080/10485250310001605469zbMath1054.62042OpenAlexW2158118809WikidataQ60644091 ScholiaQ60644091MaRDI QIDQ4470136

Lasse Holmström, Fabian Hoti

Publication date: 22 June 2004

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250310001605469

zbMATH Keywords

SimulationsBinningLocal linear regressionEstimation error

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (1)

Multi-dimensional functional principal component analysis

Cites Work

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• Consistent nonparametric regression. Discussion
• Nonparametric curve estimation. Methods, theory, and applications
• Wavelets, approximation, and statistical applications
• The accuracy and the computational complexity of a multivariate binned kernel density estima\-tor.
• Local linear regression smoothers and their minimax efficiencies
• Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Design-adaptive Nonparametric Regression

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