A mixed model approach to measurement error in semiparametric regression

DOI10.1007/s11222-021-10005-xzbMath1475.62036OpenAlexW3143681113MaRDI QIDQ2058744

Mohammad W. Hattab, David Ruppert

Publication date: 9 December 2021

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-021-10005-x

zbMATH Keywords

variance function estimationnonparametric regressionpenalized splines

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08)

Uses Software

• SemiPar

Cites Work

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• Practical bandwidth selection in deconvolution kernel density estimation
• Nonparametric regression with errors in variables
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• On the asymptotics of penalized spline smoothing
• The Skew-Normal and Related Families
• Bayesian semiparametric regression in the presence of conditionally heteroscedastic measurement and regression errors
• Using SIMEX for Smoothing-Parameter Choice in Errors-in-Variables Problems
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Semiparametric Regression
• Bayesian Smoothing and Regression Splines for Measurement Error Problems
• Semiparametric Regression with R
• Local Polynomial Regression and Simulation–Extrapolation
• Estimation of Integrated Squared Density Derivatives from a Contaminated Sample
• Nonparametric regression in the presence of measurement error
• A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem
• An alternative local polynomial estimator for the error-in-variables problem
• ADDITIVE MODELS WITH PREDICTORS SUBJECT TO MEASUREMENT ERROR
• Measurement Error in Nonlinear Models