A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models.
Nicolas BanholzerThomas A. MellanH. Juliette T. UnwinStefan FeuerriegelSwapnil MishraSamir BhattPublished in: CoRR (2023)
Keyphrases
- short term
- long term
- short term prediction
- stock market
- forecasting model
- statistical models
- arima model
- probabilistic model
- short term and long term
- chaotic time series
- electric load forecasting
- long term memory
- load forecasting
- wind speed
- moving average
- autoregressive
- historical data
- learning algorithm
- motion prediction
- prediction model
- non stationary
- data fusion