The value of robust statistical forecasts in the COVID-19 pandemic
The Covid-19 pandemic has put forecasting under the spotlight, pitting epidemiological models against extrapolative time series devices. We have been producing real-time short term forecasts of confirmed cases and deaths using robust statistical models since 20 March 2020. The forecasts are adaptive...
Main Authors: | Castle, JL, Doornik, J, Hendry, D |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Cambridge University Press
2021
|
Similar Items
-
Statistical short-term forecasting of the COVID-19 pandemic
by: Doornik, JA, et al.
Published: (2020) -
Modeling and forecasting the COVID-19 pandemic time-series data
by: Doornik, JA, et al.
Published: (2021) -
Short-term forecasting of the coronavirus pandemic
by: Doornik, JA, et al.
Published: (2020) -
Forecasting principles from experience with forecasting competitions
by: Castle, JL, et al.
Published: (2021) -
Forecasting facing economic shifts, climate change and evolving pandemics
by: Castle, J, et al.
Published: (2021)