Object-Oriented Bayesian Networks for Modeling the Respondent Measurement Error

DOI10.1080/03610926.2011.630769zbMath1466.62428OpenAlexW1989667435MaRDI QIDQ2864657

Paola Vicard, Daniela Marella

Publication date: 26 November 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.630769

zbMATH Keywords

Bayesian networksmeasurement errorsrespondent error

Mathematics Subject Classification ID

Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Applications of statistics to psychology (62P15)

Related Items (4)

Toward an integrated Bayesian network approach to measurement error detection and correction ⋮ Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach ⋮ A unified principled framework for resampling based on pseudo-populations: asymptotic theory ⋮ Bayesian network structural learning from complex survey data: a resampling based approach

Uses Software

• RHugin

Cites Work

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• Estimation of contingency tables in complex survey sampling using probabilistic expert systems
• Probabilistic Networks and Expert Systems
• Statistical Genetics and Genetical Statistics: a Forensic Perspective^*
• Probabilistic Expert Systems for Forensic Inference from Genetic Markers
• Bayesian Networks for Imputation
• Graphical models

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