An expectation-maximization scheme for measurement error models

DOI10.1016/J.SPL.2016.09.007zbMath1463.62117OpenAlexW2522117274MaRDI QIDQ342750

Anindya Bhadra

Publication date: 18 November 2016

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2016.09.007

zbMATH Keywords

splinesmaximum likelihoodmeasurement errorexpectation-maximization

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical computation using splines (65D07)

Cites Work

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• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Bayesian Smoothing and Regression Splines for Measurement Error Problems
• Nonparametric regression in the presence of measurement error

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