Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach

DOI10.3969/j.issn.1001-4268.2024.02.006MaRDI QIDQ6592374

Liangliang Zhuang, Ping-Ping Wang, Yin-cai Tang, Shirong Zhou, JiaWei Xu

Publication date: 26 August 2024

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

zbMATH Keywords

Poisson regression modelintegrated nested Laplace approximation (INLA)COVID-19LSTM

Mathematics Subject Classification ID

Bayesian inference (62F15)

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