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~isPartOf:"Computational economics"
~isPartOf:"Journal of forecasting"
~language:"cat"
~language:"eng"
~person:"Chevallier, Julien"
~person:"McAleer, Michael"
~person:"Sermpinis, Georgios"
~subject:"Decomposition method"
~subject:"Forecasting model"
~type_genre:"Article in journal"
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Decomposition method
Forecasting model
Prognoseverfahren
16
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9
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9
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5
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5
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4
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Chevallier, Julien
McAleer, Michael
Sermpinis, Georgios
Gupta, Rangan
18
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12
Chen, Cathy W. S.
7
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7
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7
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5
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5
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5
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4
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4
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4
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4
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4
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4
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4
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4
Panopulu, Aikaterinē
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Computational economics
Journal of forecasting
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5
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4
Journal of economic surveys
4
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4
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3
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2
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ECONIS (ZBW)
16
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1
Intelligent prediction of annual CO2 emissions under data decomposition mode
Wang, Yelin
;
Yang, Ping
;
Song, Zan
;
Chevallier, Julien
; …
- In:
Computational economics
63
(
2024
)
2
,
pp. 711-740
Persistent link: https://www.econbiz.de/10014472551
Saved in:
2
An evolutionary cost-sensitive support vector machine for carbon price trend forecasting
Zhu, Bangzhu
;
Zhang, Jingyi
;
Wan, Chunzhuo
;
Chevallier, …
- In:
Journal of forecasting
42
(
2023
)
4
,
pp. 741-755
Persistent link: https://www.econbiz.de/10014292805
Saved in:
3
Forecasting and trading Bitcoin with machine learning techniques and a hybrid volatility/sentiment leverage
Wei, Mingzhe
;
Sermpinis, Georgios
;
Stasinakis, Charalampos
- In:
Journal of forecasting
42
(
2023
)
4
,
pp. 852-871
Persistent link: https://www.econbiz.de/10014292835
Saved in:
4
A tug of war of forecasting the US stock market volatility : oil futures overnight versus intraday information
Ma, Feng
;
Wahab, M. I. M.
;
Chevallier, Julien
;
Li, Ziyang
- In:
Journal of forecasting
42
(
2023
)
1
,
pp. 60-75
Persistent link: https://www.econbiz.de/10013465762
Saved in:
5
Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels
Zhu, Bangzhu
;
Ye, Shunxin
;
Wang, Ping
;
Chevallier, Julien
; …
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 100-117
Persistent link: https://www.econbiz.de/10012796273
Saved in:
6
Forecasting inflection points : hybrid methods with multiscale machine learning algorithms
Chevallier, Julien
;
Zhu, Bangzhu
;
Zhang, Lyuyuan
- In:
Computational economics
57
(
2021
)
2
,
pp. 537-575
Persistent link: https://www.econbiz.de/10012486931
Saved in:
7
Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias
Sermpinis, Georgios
;
Verousis, Thanos
;
Theofilatos, …
- In:
Journal of forecasting
35
(
2016
)
1
,
pp. 1-12
Persistent link: https://www.econbiz.de/10011417657
Saved in:
8
An adaptive multiscale ensemble learning paradigm for nonstationary and nonlinear energy price time series forecasting
Zhu, Bangzhu
;
Shi, Xuetao
;
Chevallier, Julien
;
Wang, Ping
; …
- In:
Journal of forecasting
35
(
2016
)
7
,
pp. 633-651
Persistent link: https://www.econbiz.de/10011610095
Saved in:
9
Forecasting US unemployment with radial basis neural networks, Kalman filters and support vector regressions
Stasinakis, Charalampos
;
Sermpinis, Georgios
; …
- In:
Computational economics
47
(
2016
)
4
,
pp. 569-587
Persistent link: https://www.econbiz.de/10011712477
Saved in:
10
Carbon price analysis using empirical mode decomposition
Zhu, Bangzhu
;
Wang, Ping
;
Chevallier, Julien
;
Wei, Yi-Ming
- In:
Computational economics
45
(
2015
)
2
,
pp. 195-206
Persistent link: https://www.econbiz.de/10011325724
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