Nonparametric Berkson regression under normal measurement error and bounded design

DOI10.1016/J.JMVA.2009.10.010zbMath1185.62077OpenAlexW2057815328MaRDI QIDQ962213

Alexander Meister

Publication date: 6 April 2010

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2009.10.010

zbMATH Keywords

orthogonal polynomialsinverse problemsdeconvolutionerrors-in-variables regressionBerkson error

Mathematics Subject Classification ID

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

Related Items (2)

Nonparametric regression estimate with Berkson Laplace measurement error ⋮ Simultaneous inference for Berkson errors-in-variables regression under fixed design

Cites Work

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• On the optimal rates of convergence for nonparametric deconvolution problems
• Nonparametric regression with errors in variables
• Berkson measurement error in designed repeated measures studies with random coefficients
• Nonparametric Methods for Solving the Berkson Errors-in-Variables Problem
• Gaussian deconvolution via differentiation
• Non-Parametric Regression Estimation from Data Contaminated by a Mixture of Berkson and Classical Errors
• Deconvolution from Fourier-oscillating error densities under decay and smoothness restrictions
• Measurement Error in Nonlinear Models
• Are There Two Regressions?

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