A spatiotemporal analytical outlook of the exposure to air pollution and COVID-19 mortality in the USA

DOI10.1007/s13253-022-00487-1OpenAlexW4210396503MaRDI QIDQ2102958

Yoonbae Jun, Tanujit Dey, Chae Young Lim, Francesca Dominici, Sounak Chakraborty, Anish Mukherjee

Publication date: 12 December 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-022-00487-1

zbMATH Keywords

spatialMarkov chain Monte Carloair pollutionBayesian inferencespatiotemporalzero inflationCOVID-19negative binomial model

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• spBayes

Cites Work

• Bayesian zero-inflated negative binomial regression based on Pólya-gamma mixtures
• Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

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