Modifying the double smoothing bandwidth selector in nonparametric regression

DOI10.1016/j.stamet.2009.04.001zbMath1463.62116OpenAlexW2176971273MaRDI QIDQ537380

Siegfried Heiler, Yuanhua Feng, Jan Beran

Publication date: 20 May 2011

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-6152

zbMATH Keywords

plug-inbandwidth selectionnonparametric regressiondouble smoothingiterative double smoothingmodified double smoothing

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (3)

An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method ⋮ Bootstrap bandwidth selection method for local linear estimator in exponential family models ⋮ Data-driven local polynomial for the trend and its derivatives in economic time series

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• Empirical-Bias Bandwidths for Local Polynomial Nonparametric Regression and Density Estimation
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