Interpolation Methods for Adapting to Sparse Design in Nonparametric Regression

DOI10.2307/2965694zbMath0890.62033OpenAlexW4249398984MaRDI QIDQ4366224

Hall, Peter, Turlach, Berwin A.

Publication date: 18 November 1997

Full work available at URL: https://doi.org/10.2307/2965694

zbMATH Keywords

interpolationbandwidthkernel methodslocal linear smoothinglocal polynomial smoothingridge parameterpseudodata

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items

DOUBLE SMOOTHING ESTIMATION OF THE MULTIVARIATE REGRESSION FUNCTION IN NONPARAMETRIC REGRESSION, Projection pursuit emulation for many-input computer experiments, An interpolation method for adapting to sparse design in multivariate nonparametric regression, A parallel solver for generalised additive models, Bandwidth selection for local linear regression, Reducing variance in univariate smoothing, Local polynomial regresssion estimators in survey sampling.

Uses Software

• KernSmooth