Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach (Q6592374)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach |
scientific article; zbMATH DE number 7901048
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach |
scientific article; zbMATH DE number 7901048 |
Statements
Spatio-temporal forecasting and uncertainty quantification of COVID-19 cases in Shanghai via a Bayesian deep learning approach (English)
0 references
26 August 2024
0 references
COVID-19
0 references
LSTM
0 references
Poisson regression model
0 references
integrated nested Laplace approximation (INLA)
0 references
0 references
