Authors: Proksch, Katharina
Title: On confidence bands for multivariate nonparametric regression
Language (ISO): en
Abstract: In a multivariate nonparametric regression problem with fixed, deterministic design asymptotic, uniform confidence bands for the regression function are constructed. The construction of the bands is based on the asymptotic distribution of the maximal deviation between a suitable nonparametric estimator and the true regression function which is derived by multivariate strong approximation methods and a limit theorem for the supremum of a stationary Gaussian field over an increasing system of sets. The results are derived for a general class of estimators which includes local polynomial estimators as a special case. The finite sample properties of the proposed asymptotic bands are investigated by means of a small simulation study.
Subject Headings: confidence bands
uniform convergence
nonparametric regression
multivariate regression
rates of convergence
URI: http://hdl.handle.net/2003/31821
http://dx.doi.org/10.17877/DE290R-7369
Issue Date: 2014-01-14
Appears in Collections:Sonderforschungsbereich (SFB) 823

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