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International journal of forecasting
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ECONIS (ZBW)
11
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1
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1
A comparison of AdaBoost algorithms for time series forecast combination
Barrow, Devon K.
;
Crone, Sven F.
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1103-1119
Persistent link: https://www.econbiz.de/10011622109
Saved in:
2
An
ensemble
approach to GEFCom2017 probabilistic load forecasting
Landgraf, Andrew J.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1432-1438
Persistent link: https://www.econbiz.de/10012305367
Saved in:
3
Operational solar forecasting for the real-time market
Yang, Dazhi
;
Wu, Elynn
;
Kleissl, Jan
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1499-1519
Persistent link: https://www.econbiz.de/10012305380
Saved in:
4
Comparing trained and untrained probabilistic
ensemble
forecasts of COVID-19 cases and deaths in the United States
Ray, Evan L.
;
Brooks, Logan C.
;
Bien, Jacob
; …
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1366-1383
Persistent link: https://www.econbiz.de/10014465288
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
Boosting
nonlinear predictability of macroeconomic time series
Kauppi, Heikki
;
Virtanen, Timo
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 151-170
Persistent link: https://www.econbiz.de/10012692684
Saved in:
7
Google data in bridge equation models for German GDP
Götz, Thomas B.
;
Knetsch, Thomas A.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 45-66
Persistent link: https://www.econbiz.de/10012300574
Saved in:
8
Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak
;
Swanson, Norman R.
- In:
International journal of forecasting
34
(
2018
)
2
,
pp. 339-354
Persistent link: https://www.econbiz.de/10012030940
Saved in:
9
Understanding survey-based inflation expectations
Berge, Travis J.
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 788-801
Persistent link: https://www.econbiz.de/10012031107
Saved in:
10
Predicting recessions with boosted regression trees
Döpke, Jörg
;
Fritsche, Ulrich
;
Pierdzioch, Christian
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 745-759
Persistent link: https://www.econbiz.de/10011746903
Saved in:
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