A spatio-temporal statistical model to analyze COVID-19 spread in the USA

DOI10.1080/02664763.2021.1970122OpenAlexW3198308715MaRDI QIDQ6078127

Unnamed Author, Soudeep Deb

Publication date: 27 September 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1970122

zbMATH Keywords

Bayesian analysisepidemiologyGibbs samplingpandemicCoronavirus

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

Cites Work

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• Testing for separability of spatial\,-\,temporal covariance functions
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Spatio-Temporal Models with Space-Time Interaction and Their Applications to Air Pollution Data
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models

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