A robust and efficient estimation method for nonparametric models with jump points

DOI10.1080/03610918.2016.1202272zbMath1388.62146OpenAlexW2503610188MaRDI QIDQ4638821

Xing-Fang Huang, Zhong-Cheng Han, Hong-Xia Wang, Jin-Guan Lin

Publication date: 30 April 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1202272

zbMATH Keywords

EM algorithmnonparametric regressionjump-preserving curve fittinglocal piecewise-modal regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Applications of statistics to environmental and related topics (62P12)

Related Items

Adaptive semiparametric estimation for single index models with jumps

Cites Work

• Unnamed Item
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• A robust and efficient estimation method for single index models
• Kernel-type estimators of jump points and values of a regression function
• Empirical likelihood based modal regression
• Robust adaptive estimation for semivarying coefficient models
• Local linear kernel estimation of the discontinuous regression function
• Robust variable selection in partially varying coefficient single-index model
• Curve Fitting Under Jump and Peak Irregularities Using Local Linear Regression
• Smoothing with Split Linear Fits
• Local modal regression
• Local linear fitting and improved estimation near peaks
• The problem of the Nile: Conditional solution to a changepoint problem
• A jump-preserving curve fitting procedure based on local piecewise-linear kernel estimation
• Robust estimation and variable selection for semiparametric partially linear varying coefficient model based on modal regression

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