Process modelling for contingency tables with ordered categories

DOI10.1177/1471082X1001200301OpenAlexW1985470814MaRDI QIDQ4970955

Matthew J. Heaton, Alan E. Gelfand, Simone C. Gray

Publication date: 8 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x1001200301

zbMATH Keywords

Gaussian processesnonhomogeneous Poisson processCox processBayesian hierarchical modelspatial interpolationblock summingseparable covariance functions

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SAS
• spBayes

Cites Work

• Model-based Bayesian methods for estimating cell proportions in cross- classification tables having ordered categories
• On the bivariate normal distribution and association models for ordinal categorical data
• Marginal regression models for the analysis of positive association of ordinal response variables
• Handbook of Spatial Statistics
• A Mixed-Model Procedure for Analyzing Ordered Categorical Data
• Association models and the bivariate normal for contingency tables with ordered categories
• Empirical Bayes methods for two-way contingency tables
• Combining Incompatible Spatial Data
• Modeling Spatial Variation in Disease Risk
• Spatial Poisson Regression for Health and Exposure Data Measured at Disparate Resolutions
• Modeling Disease Incidence Data with Spatial and Spatio Temporal Dirichlet Process Mixtures
• Simultaneous Estimation of Multinomial Cell Probabilities
• Discrete Multivariate Analysis Theory and Practice
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