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subject:"Welt"
type:"article"
~isPartOf:"International journal of forecasting"
~subject:"Time series analysis"
~type_genre:"Article in journal"
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Welt
Time series analysis
Theorie
815
Theory
815
Forecasting model
674
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674
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303
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109
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Makridakis, Spyros G.
11
Hyndman, Rob J.
9
Assimakopoulos, V.
8
Spiliotis, Evangelos
8
Koopman, Siem Jan
6
Franses, Philip Hans
5
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5
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Kang, Yanfei
4
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4
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4
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4
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3
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3
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3
Peña, Daniel
3
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3
Remus, William E.
3
Ruiz, Esther
3
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3
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International journal of forecasting
Economics letters
351
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322
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
235
Journal of forecasting
229
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191
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181
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164
Journal of international money and finance
135
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Econometric reviews
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112
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111
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108
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105
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
96
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84
Journal of banking & finance
82
Ecological economics : the transdisciplinary journal of the International Society for Ecological Economics
80
Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
79
European economic review : EER
77
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68
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66
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Oxford bulletin of economics and statistics
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European journal of political economy
48
Journal of development economics
48
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Journal of economic surveys
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ECONIS (ZBW)
322
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41
A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition
Bandara, Kasun
;
Hewamalage, Hansika
;
Godahewa, Rakshitha
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1400-1404
Persistent link: https://www.econbiz.de/10014381097
Saved in:
42
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:
43
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:
44
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
Saved in:
45
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
Saved in:
46
Data snooping in equity premium prediction
Dichtl, Hubert
;
Drobetz, Wolfgang
;
Neuhierl, Andreas
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 72-94
Persistent link: https://www.econbiz.de/10012692602
Saved in:
47
Forecasting high resolution electricity demand data with additive models including smooth and jagged components
Amato, Umberto
;
Antoniadis, Anestis
;
De Feis, Italia
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 171-185
Persistent link: https://www.econbiz.de/10012692688
Saved in:
48
A critical overview of privacy-preserving approaches for collaborative forecasting
Gonçalves, Carla
;
Bessa, Ricardo J.
;
Pinson, Pierre
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 322-342
Persistent link: https://www.econbiz.de/10012692721
Saved in:
49
Expert forecasting with and without uncertainty quantification and weighting : What do the data say?
Cooke, Roger M.
;
Marti, Deniz
;
Mazzuchi, Thomas
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 378-387
Persistent link: https://www.econbiz.de/10012693076
Saved in:
50
On using predictive-ability tests in the selection of time-series prediction models : a Monte Carlo evaluation
Costantini, Mauro
;
Kunst, Robert M.
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 445-460
Persistent link: https://www.econbiz.de/10012792843
Saved in:
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