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On Forecast Stability
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On Forecast Stability

Rakshitha Godahewa
Christoph Bergmeir
Zeynep Erkin Baz
Chengjun Zhu
Zhangdi Song
Salvador Garcia
Dario Benavides
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Papers citing "On Forecast Stability"

6 / 6 papers shown
Title
Using dynamic loss weighting to boost improvements in forecast stability
Using dynamic loss weighting to boost improvements in forecast stability
Daan Caljon
Jeff Vercauteren
Simon De Vos
Wouter Verbeke
Jente Van Belle
81
0
0
26 Sep 2024
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
Kasun Bandara
Rob J. Hyndman
Christoph Bergmeir
AI4TS
47
72
0
28 Jul 2021
Monash Time Series Forecasting Archive
Monash Time Series Forecasting Archive
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Rob J. Hyndman
Pablo Montero-Manso
AI4TS
67
162
0
14 May 2021
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Pablo Montero-Manso
Rob J. Hyndman
AI4TS
71
138
0
02 Aug 2020
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
81
892
0
02 Sep 2019
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
117
1,066
0
24 May 2019