Bayesian identifiability and misclassification in multinomial data

DOI10.2307/3315930zbMath1061.62040OpenAlexW2157859776MaRDI QIDQ4664954

Tim B. Swartz, Tae Yang, Yoel Haitovsky, Albert Vexler

Publication date: 9 April 2005

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/91e609807a677122e9c10024b1628227d805725c

zbMATH Keywords

latent variablesGibbs samplingmisclassificationDirichlet priorsnonidentifiabilityconvergence of Markov chains

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (8)

A Bayesian approach for misclassified ordinal response data ⋮ Partial identification of probability distributions with misclassified data ⋮ Reducing bias due to misclassified exposures using instrumental variables ⋮ Test, estimation and model comparison for the meiosis I nondisjunction fraction in trisomies ⋮ Bayesian analysis of mark-recapture data with travel time-dependent survival probabilities ⋮ A hierarchical Bayesian approach to record linkage and population size problems ⋮ A general latent class model for performance evaluation of diagnostic tests in the absence of a gold standard: an application to Chagas disease ⋮ Repeated responses in misclassification binary regression: A Bayesian approach

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• Adjustment of Cancer Incidence Rates for Ethnic Misclassification
• A Double Sampling Scheme for Estimating from Misclassified Multinomial Data with Applications to Sampling Inspection
• Misclassification in 2 X 2 Tables

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