Gaussian component mixtures and CAR models in Bayesian disease mapping

DOI10.1016/j.csda.2011.11.011zbMath1243.62037OpenAlexW1999183547MaRDI QIDQ434899

Andrew B. Lawson, Paula Moraga

Publication date: 16 July 2012

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

Full work available at URL: https://doi.org/10.1016/j.csda.2011.11.011

zbMATH Keywords

conditional autoregressive models

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (5)

Evaluation of Bayesian multiple stage estimation under spatial CAR model variants ⋮ A Bayesian Joint Spatio-temporal Model for Multiple Mosquito-Borne Diseases ⋮ A shared neighbor conditional autoregressive model for small area spatial data ⋮ Spatially explicit survival modeling for small area cancer data ⋮ Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors

Uses Software

• WinBUGS
• JAGS
• OpenBUGS

Cites Work

• Unnamed Item
• Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Modelling risks in disease mapping
• Bayesian Disease Mapping
• Multilevel Modelling of the Geographical Distributions of Diseases
• Bayesian Measures of Model Complexity and Fit
• Order-Free Co-Regionalized Areal Data Models with Application to Multiple-Disease Mapping
• Neighborhood Dependence in Bayesian Spatial Models
• Proper multivariate conditional autoregressive models for spatial data analysis
• Bayesian multivariate areal wombling for multiple disease boundary analysis

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