Smooth robust multi-horizon forecasts
We investigate whether smooth robust methods for forecasting can help mitigate pronounced and persistent failure across multiple forecast horizons. We demonstrate that naive predictors are interpretable as local estimators of the long-run relationship with the advantage of adapting quickly after a b...
Hauptverfasser: | Martinez, AB, Castle, JL, Hendry, DF |
---|---|
Weitere Verfasser: | Chudik, A |
Format: | Journal article |
Sprache: | English |
Veröffentlicht: |
Emerald
2022
|
Ähnliche Einträge
-
Forecasting principles from experience with forecasting competitions
von: Castle, JL, et al.
Veröffentlicht: (2021) -
Econometric forecasting of climate change
von: Castle, JL, et al.
Veröffentlicht: (2024) -
Card forecasts for M4
von: Doornik, JA, et al.
Veröffentlicht: (2019) -
Short-term forecasting of the coronavirus pandemic
von: Doornik, JA, et al.
Veröffentlicht: (2020) -
The value of robust statistical forecasts in the COVID-19 pandemic
von: Castle, JL, et al.
Veröffentlicht: (2021)