A spatially adaptive conditional autoregressive prior for area health data

DOI10.1016/j.stamet.2008.02.005zbMath1248.62210OpenAlexW2005645662MaRDI QIDQ713894

Peter Congdon

Publication date: 19 October 2012

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

Full work available at URL: https://doi.org/10.1016/j.stamet.2008.02.005

zbMATH Keywords

spatial correlationsdeprivationlong term illnessspatial outliers

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (4)

Disease mapping models for data with weak spatial dependence or spatial discontinuities ⋮ On the convenience of heteroscedasticity in highly multivariate disease mapping ⋮ Some recent work on multivariate Gaussian Markov random fields ⋮ Detection of sparse differential dependent functional brain connectivity

Uses Software

• WinBUGS
• GMRFLib
• spBayes
• BayesDA

Cites Work

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• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Sampling-Based Approaches to Calculating Marginal Densities
• A Predictive Approach to Model Selection
• Bayesian analysis of multivariate survival data using Monte Carlo methods
• Bayesian Analysis and Model Selection for Interval‐Censored Survival Data
• Bayesian Detection of Clusters and Discontinuities in Disease Maps
• Bayesian Measures of Model Complexity and Fit
• Gaussian Markov Random Fields
• Identifying outliers in Bayesian hierarchical models: a simulation-based approach

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