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1
Forecasting crude oil market volatility using variable selection and common factor
Zhang, Yaojie
;
Wahab, M. I. M.
;
Wang, Yudong
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 486-502
Persistent link: https://www.econbiz.de/10014462793
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2
Nowcasting and forecasting global financial sector stress and credit market dislocation
Schwaab, Bernd
;
Koopman, Siem Jan
;
Lucas, André
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 741-758
Persistent link: https://www.econbiz.de/10010515585
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3
Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika
;
Venkitasubramony, Rakesh
- In:
International journal of forecasting
40
(
2024
)
1
,
pp. 247-267
Persistent link: https://www.econbiz.de/10014450269
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4
Post-scrip-retail forecasting : research and practice
Fildes, Robert
;
Kolassa, Stephan
;
Ma, Shaohui
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1319-1324
Persistent link: https://www.econbiz.de/10014381083
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5
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
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6
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
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7
Simple averaging of direct and recursive forecasts via partial pooling using machine learning
In, YeonJun
;
Jung, Jae-Yoon
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1386-1399
Persistent link: https://www.econbiz.de/10014381094
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8
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
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9
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Nasios, Ioannis
;
Vogklis, Konstantinos
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1448-1459
Persistent link: https://www.econbiz.de/10014381109
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10
The performance of the global bottom-up approach in the M5 accuracy competition : a robustness check
Ma, Shaohui
;
Fildes, Robert
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1492-1499
Persistent link: https://www.econbiz.de/10014381130
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