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~accessRights:"restricted"
~isPartOf:"Applied economics"
~isPartOf:"Computational economics"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"International journal of forecasting"
~person:"Burns, Kelly"
~person:"Chen, Yi-Ting"
~person:"Nikolopoulos, Konstantinos"
~person:"Rubaszek, Michał"
~subject:"Dynamisches Gleichgewicht"
~subject:"Nationaleinkommen"
~subject:"Prognoseverfahren"
~subject:"World"
~subject:"Zeitreihenanalyse"
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Dynamisches Gleichgewicht
Nationaleinkommen
Prognoseverfahren
World
Zeitreihenanalyse
Forecasting
9
Forecasting model
9
Theorie
5
Theory
5
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3
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3
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Artificial intelligence
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Bayes-Statistik
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Bayesian inference
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Estimation
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Exchange rate
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Künstliche Intelligenz
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Random walk
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Schätzung
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Wechselkurs
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exchange rate models
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random walk
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Australien
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Burns, Kelly
Chen, Yi-Ting
Nikolopoulos, Konstantinos
Rubaszek, Michał
Gupta, Rangan
6
Moosa, Imad A.
5
Gausden, Robert
3
Gkonkas, Periklēs
3
Hasan, Mohammad S.
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Papadimitriou, Theophilos
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Petropoulos, Fotios
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Sbrana, Giacomo
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Silvestrini, Andrea
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Balcilar, Mehmet
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Bas, Eren
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Casey, Eddie
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Cribari-Neto, Francisco
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Egrioglu, Erol
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Eicher, Theo S.
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Foroni, Claudia
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Guérin, Pierre
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Hassani, Hossein
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Hecq, Alain W. J.
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Hendry, David F.
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Applied economics
Computational economics
Discussion paper / Tinbergen Institute
International journal of forecasting
Economic modelling
2
European journal of operational research : EJOR
2
Computers & operations research : and their applications to problems of world concern ; an international journal
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Journal of commodity markets
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ECONIS (ZBW)
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1
Forecasting
crude oil prices with DSGE models
Rubaszek, Michał
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 531-546
Persistent link: https://www.econbiz.de/10012792850
Saved in:
2
Machine learning with parallel neural networks for analyzing and
forecasting
electricity demand
Chen, Yi-Ting
;
Sun, Edward W.
;
Lin, Yi-Bing
- In:
Computational economics
56
(
2020
)
2
,
pp. 569-597
Persistent link: https://www.econbiz.de/10012272048
Saved in:
3
Does the foreign sector help forecast domestic variables in DSGE models?
Kolasa, Marcin
;
Rubaszek, Michał
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 809-821
Persistent link: https://www.econbiz.de/10012031114
Saved in:
4
Tales from tails : on the empirical distributions of
forecasting
errors and their implication to risk
Spiliotis, Evangelos
;
Nikolopoulos, Konstantinos
; …
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 687-698
Persistent link: https://www.econbiz.de/10012300716
Saved in:
5
Demystifying the Meese-Rogoff puzzle : structural breaks or measures of
forecasting
accuracy?
Burns, Kelly
;
Moosa, Imad A.
- In:
Applied economics
49
(
2017
)
48
,
pp. 4897-4910
Persistent link: https://www.econbiz.de/10011844813
Saved in:
6
The random walk as a
forecasting
benchmark : drift or no drift?
Moosa, Imad A.
;
Burns, Kelly
- In:
Applied economics
48
(
2016
)
43/45
,
pp. 4131-4142
Persistent link: https://www.econbiz.de/10011639995
Saved in:
7
Jump detection and noise separation by a singular wavelet method for predictive analytics of high-frequency data
Chen, Yi-Ting
;
Lai, Wan-Ni
;
Sun, Edward W.
- In:
Computational economics
54
(
2019
)
2
,
pp. 809-844
Persistent link: https://www.econbiz.de/10012134380
Saved in:
8
Fathoming empirical
forecasting
competitions' winners
Alroomi, Azzam
;
Karamatzanis, Georgios
;
Nikolopoulos, …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1519-1525
Persistent link: https://www.econbiz.de/10014381148
Saved in:
9
A disaster response model driven by spatial-temporal forecasts
Nikolopoulos, Konstantinos
;
Petropoulos, Fotios
; …
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 1214-1220
Persistent link: https://www.econbiz.de/10013349778
Saved in:
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