Bayesian methodology for the analysis of spatial–temporal surveillance data

DOI10.1002/sam.10142OpenAlexW2028500805MaRDI QIDQ4969836

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Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10142

zbMATH Keywords

spatial statisticsMarkov random fieldspatio-temporalsyndromic surveillanceconditional autoregressive process

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

A Bayesian nonparametric spiked process prior for dynamic model selection

Cites Work

• Unnamed Item
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• A Hierarchical Model for Space–Time Surveillance Data on Meningococcal Disease Incidence
• Hierarchical Spatio-Temporal Mapping of Disease Rates
• Hidden Markov Models and Disease Mapping
• An adaptive Metropolis algorithm

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