Bandwidth Selection in Local Polynomial Regression Using Eigenvalues

DOI10.1111/j.1467-9868.2005.00537.xzbMath1141.62028OpenAlexW2075616915MaRDI QIDQ5434736

Kathryn A. Prewitt, Sharon L. Lohr

Publication date: 9 January 2008

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2005.00537.x

zbMATH Keywords

smoothingderivative estimationmulticollinearityrandom designadaptive bandwidth selectionLOESS estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07)

Related Items (4)

Adaptive local polynomial estimations for heterogeneously variational regression functions ⋮ Global adaptive smoothing regression ⋮ Adjusted Confidence Bands in Nonparametric Regression ⋮ Moving Least Squares Regression for High-Dimensional Stochastic Simulation Metamodeling

Cites Work

• Data sharpening methods for bias reduction in nonparametric regression.
• Efficient Bandwidth Selection in Non‐parametric Regression
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