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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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
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ISBN9812382011
9789812382016
9812776370
9789814487191
9814487198
9789812776372
DOI10.1142/9789812776372_0015

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Abstract 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.
AbstractList 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.
Author GENG, ZHI
KURODA, MASAHIRO
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  organization: Department of Statistics, Peking University, Beijing 100871
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Keywords Bayesian estimation
data augmentation algorithm
posterior means
contingency table
misclassification
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Snippet In epidemiological studies, observed data are often collected subject to misclassification errors. In this paper, we discuss the Bayesian estimation for...
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StartPage 143
SubjectTerms Combinatorics & graph theory
Probability & statistics
Title Bayesian Inference for Categorical Data with Misclassification Errors
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