Bayesian Inference for Categorical Data with Misclassification Errors

In epidemiological studies, observed data are often collected subject to misclassification errors. In this paper, we discuss the Bayesian estimation for contingency tables with misclassification errors. Employing the exact Bayesian computations to obtain posterior means as estimates, we are faced wi...

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Bibliographic Details
Published inAdvances In Statistics, Combinatorics And Related Areas pp. 143 - 151
Main Authors KURODA, MASAHIRO, GENG, ZHI
Format Book Chapter
LanguageEnglish
Published Singapore World Scientific Publishing Company 2002
WORLD SCIENTIFIC
Subjects
Combinatorics & graph theory
Probability & statistics
Bayesian estimation
data augmentation algorithm
posterior means
contingency table
misclassification
Online AccessGet full text
ISBN9812382011
9789812382016
9812776370
9789814487191
9814487198
9789812776372
DOI10.1142/9789812776372_0015

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Summary:In epidemiological studies, observed data are often collected subject to misclassification errors. In this paper, we discuss the Bayesian estimation for contingency tables with misclassification errors. Employing the exact Bayesian computations to obtain posterior means as estimates, we are faced with computational difficulties. In order to find the posterior distribution, we apply the data augmentation(DA) algorithm to misclassified categorical data.
ISBN:9812382011
9789812382016
9812776370
9789814487191
9814487198
9789812776372
DOI:10.1142/9789812776372_0015