Bayesian Partitioning for Modeling and Mapping Spatial Case–Control Data

DOI10.1111/j.1541-0420.2008.01193.xzbMath1180.62161OpenAlexW1973730390WikidataQ33408338 ScholiaQ33408338MaRDI QIDQ5850961

Deborah A. Costain

Publication date: 21 January 2010

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.01193.x

zbMATH Keywords

control datareversible jump MCMCBayesian partitioninggeo-referenced casespatial variation in infant mortality

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)

Uses Software

• sm

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields
• An algorithm for nonparametric Bayesian estimation of a Poisson intensity
• Bayesian Partitioning for Estimating Disease Risk
• Statistics in Epidemiology: The Case-Control Study
• Spatial Variation in Risk of Disease: A Nonparametric Binary Regression Approach
• Non-parametric Bayesian Estimation of a Spatial Poisson Intensity
• Log Gaussian Cox Processes
• Spatial Poisson Regression for Health and Exposure Data Measured at Disparate Resolutions
• Bayesian Detection of Clusters and Discontinuities in Disease Maps
• Applied Spatial Statistics for Public Health Data
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing

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