Process modelling for contingency tables with ordered categories
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Publication:4970955
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
Gaussian processesnonhomogeneous Poisson processCox processBayesian hierarchical modelspatial interpolationblock summingseparable covariance functions
Uses Software
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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