Stable and bias-corrected estimation for nonparametric regression models

DOI10.1080/10485250802018253zbMath1142.62021OpenAlexW2015149242MaRDI QIDQ3521111

Lu Lin, Feng Li

Publication date: 27 August 2008

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485250802018253

zbMATH Keywords

robustnessbandwidth selectionparametric regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Point estimation (62F10)

Related Items (4)

Global debiased DC estimations for biased estimators via pro forma regression ⋮ Bias-corrected inference for multivariate nonparametric regression: model selection and oracle property ⋮ Simulation-based two-stage estimation for multiple nonparametric regression ⋮ GMM and misspecification correction for misspecified models with diverging number of parameters

Cites Work

• Unnamed Item
• Unnamed Item
• Linear smoothers and additive models
• Consistent nonparametric regression from recursive partitioning schemes
• Exact mean integrated squared error
• Locally parametric nonparametric density estimation
• Nonparametric smoothing and lack-of-fit tests
• Multivariate locally weighted least squares regression
• Direct estimation of low-dimensional components in additive models.
• Jackknife, bootstrap and other resampling methods in regression analysis
• Data sharpening methods for bias reduction in nonparametric regression.
• A unified jackknife theory for empirical best prediction with \(M\)-estimation
• Semiparametric density estimation by local \(L_ 2\)-fitting.
• Nonparametric density estimation with a parametric start
• Nonparametric estimation of an additive model with a link function
• Estimating residual variance in nonparametric regression using least squares
• Extrapolation of subsampling distribution estimators: The i.i.d. and strong mixing cases

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