Model-based Bayesian methods for estimating cell proportions in cross- classification tables having ordered categories

DOI10.1016/0167-9473(89)90025-XzbMath0726.62080OpenAlexW1992382083MaRDI QIDQ804159

Christy Chuang, Alan Agresti

Publication date: 1989

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(89)90025-x

zbMATH Keywords

EM algorithmDirichlet prioruniform association modelloglinear modelsmoothing methodsordinal variablesnormal priorordered categoriescell proportionscross-classification tablesEmpirical Bayes

Mathematics Subject Classification ID

Bayesian inference (62F15) Contingency tables (62H17)

Related Items

Bayesian classification based on multivariate binary data ⋮ Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model ⋮ The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion) ⋮ Bayesian clustering for row effects models ⋮ Process modelling for contingency tables with ordered categories ⋮ Bayesian estimation of unrestricted and order-restricted association models for a two-way contingency table

Cites Work

• A penalty function approach to smoothing large sparse contingency tables
• The analysis of cross-classified data having ordered and/or unordered categories: Association models, correlation models, and asymmetry models for contingency tables with or without missing entries
• Empirical bayes methods for a two-way multiplicative-interaction model
• Kernel Estimates for Categorical Data
• A Comparative Study of Kernel-Based Density Estimates for Categorical Data
• Empirical Bayes methods for two-way contingency tables
• Simultaneous Estimation of Multinomial Cell Probabilities
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