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 in | Advances In Statistics, Combinatorics And Related Areas pp. 143 - 151 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Singapore
World Scientific Publishing Company
2002
WORLD SCIENTIFIC |
Subjects | |
Online Access | Get full text |
ISBN | 9812382011 9789812382016 9812776370 9789814487191 9814487198 9789812776372 |
DOI | 10.1142/9789812776372_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. |
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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 |
Author_xml | – sequence: 1 givenname: MASAHIRO surname: KURODA fullname: KURODA, MASAHIRO email: kuroda@soft.kusa.ac.jp organization: Department of Computer Science and Mathematics, Kurashiki University of Science and the Arts, Nishinoura 2640 Turajima-cho Kurasihi-shi, Okayama 712-8505 – sequence: 2 givenname: ZHI surname: GENG fullname: GENG, ZHI email: zgeng@math.pku.edu.cn organization: Department of Statistics, Peking University, Beijing 100871 |
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Editor | John Rayner Yan-xia Lin Chandra Gulati Satya Mishra |
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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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