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Showing
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1
The M5
uncertainty
competition : results, findings and conclusions
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1365-1385
Persistent link: https://www.econbiz.de/10014381091
Saved in:
2
M5 accuracy competition : results, findings, and conclusions
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1346-1364
Persistent link: https://www.econbiz.de/10014381087
Saved in:
3
The M5 competition : background, organization, and implementation
Makridakis, Spyros G.
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1325-1336
Persistent link: https://www.econbiz.de/10014381084
Saved in:
4
Evaluating quantile forecasts in the M5
uncertainty
competition
Chen, Zhi
;
Gaba, Anil
;
Tsetlin, Ilia
;
Winkler, Robert L.
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1531-1545
Persistent link: https://www.econbiz.de/10014381153
Saved in:
5
A brief history of forecasting competitions
Hyndman, Rob J.
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 7-14
Persistent link: https://www.econbiz.de/10012405521
Saved in:
6
Time-series forecasting of mortality rates using deep learning
Perla, Francesca
;
Richman, Ronald
;
Scognamiglio, Salvatore
- In:
Scandinavian actuarial journal
2021
(
2021
)
7
,
pp. 572-598
Persistent link: https://www.econbiz.de/10012624635
Saved in:
7
Time-series forecasting models for gasoline prices in China
Xu, Feng
;
Sepehri, Mohamad
;
Hua, Jian
;
Ivanov, Sergey
; …
- In:
International journal of economics and finance
10
(
2018
)
12
,
pp. 43-53
Persistent link: https://www.econbiz.de/10011961043
Saved in:
8
Time series forecasting using evolutionary neural nets implemented in a volunteer computing system
Rivas, V. M.
;
Parras-Gutiérrez, E.
;
Merelo Guervós, …
- In:
Intelligent systems in accounting finance and …
24
(
2017
)
2/3
,
pp. 87-95
Persistent link: https://www.econbiz.de/10011825071
Saved in:
9
A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
Smyl, Slawek
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 75-85
Persistent link: https://www.econbiz.de/10012405910
Saved in:
10
Exploring the representativeness of the M5 competition data
Theodorou, Evangelos
;
Wang, Shengjie
;
Kang, Yanfei
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1500-1506
Persistent link: https://www.econbiz.de/10014381135
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