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International journal of forecasting
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6
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5
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1
LoMEF : a framework to produce local explanations for global model time series forecasts
Rajapaksha, Dilini
;
Bergmeir, Christoph
;
Hyndman, Rob J.
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1424-1447
Persistent link: https://www.econbiz.de/10014465291
Saved in:
2
COVID-19 : forecasting confirmed cases and deaths with a simple time series model
Petropoulos, Fotios
;
Makridakis, Spyros G.
;
Stylianou, …
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 439-452
Persistent link: https://www.econbiz.de/10013348603
Saved in:
3
Nowcasting unemployment insurance claims in the time of COVID-19
Larson, William
;
Sinclair, Tara M.
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 635-647
Persistent link: https://www.econbiz.de/10013348688
Saved in:
4
Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces
Shang, Han Lin
;
Kearney, Fearghal
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 1025-1049
Persistent link: https://www.econbiz.de/10013349639
Saved in:
5
Robust recurrent network model for intermittent
time-series
forecasting
Jeon, Yunho
;
Seong, Sihyeon
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1415-1425
Persistent link: https://www.econbiz.de/10014381100
Saved in:
6
Forecasting with gradient boosted trees : augmentation, tuning, and cross-validation strategies : winning solution to the M5 uncertainty competition
Lainder, A. David
;
Wolfinger, Russell D.
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1426-1433
Persistent link: https://www.econbiz.de/10014381101
Saved in:
7
A combination-based forecasting method for the M4-competition
Jaganathan, Srihari
;
Prakash, P. K. S.
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 98-104
Persistent link: https://www.econbiz.de/10012405997
Saved in:
8
An empirical investigation of water consumption forecasting methods
Karamaziotis, Panagiotis I.
;
Raptis, Achilleas
; …
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 588-606
Persistent link: https://www.econbiz.de/10012415297
Saved in:
9
Models for optimising the theta method and their relationship to state space models
Fiorucci, Jose A.
;
Pellegrini, Tiago R.
;
Louzada, Francisco
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1151-1161
Persistent link: https://www.econbiz.de/10011622119
Saved in:
10
Forecasting using sparse cointegration
Wilms, Ines
;
Croux, Christophe
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1256-1267
Persistent link: https://www.econbiz.de/10011622146
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