Semiparametric errors-in-variables models. A Bayesian approach

DOI10.1016/0378-3758(95)00139-5zbMath0848.62035OpenAlexW2004632788MaRDI QIDQ1918448

Alan E. Gelfand, Bani. K. Mallick

Publication date: 28 October 1996

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(95)00139-5

zbMATH Keywords

hierarchical structuremixturesMetropolis-within-Gibbs algorithmcovariate measurement errormixtures of beta distributionscalibration curvessampling-based methodsBayesian fittingnon-parametric linksresponse measurement errorsemiparametric generalized linear modelsimulation exampleunknown monotonic function

Mathematics Subject Classification ID

Density estimation (62G07) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items

Mixture Models in Measurement Error Problems, with Reference to Epidemiological Studies, Modelling map positional error to infer true feature location, Generalized linear models with covariate measurement error and unknown link function, Parametric Bayesian analysis of case-control data with imprecise exposure measurements, Semiparametric Bayesian Analysis of Nutritional Epidemiology Data in the Presence of Measurement Error, Modeling Human Fertility in the Presence of Measurement Error, A Bayesian Goodness of Fit Test and Semiparametric Generalization of Logistic Regression with Measurement Data, Mixture of measurement errors and their impact on parameter inferences

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