A Markov gamma random field for modelling disease mapping data

DOI10.1177/1471082X0700800107MaRDI QIDQ4970938

Luis E. Nieto-Barajas

Publication date: 8 October 2020

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

zbMATH Keywords

latent variablesdisease mappingBayes nonparametricsdiscrete Markov gamma processcorrelated gamma process

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Gamma random field simulation by a covariance matrix transformation method

Uses Software

• spatial
• BGPhazard

Cites Work

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• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Markov chains for exploring posterior distributions. (With discussion)
• Bayesian Partitioning for Estimating Disease Risk
• Poisson/gamma random field models for spatial statistics
• Markov Beta and Gamma Processes for Modelling Hazard Rates
• Hidden Markov Models and Disease Mapping
• Approximate Inference in Generalized Linear Mixed Models
• A Review of Methods for the Statistical Analysis of Spatial Patterns of Disease
• Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota

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