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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
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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
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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
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A near optimal test for structural breaks when forecasting under square error loss
Boot, Tom; Pick, Andreas - 2017
forecasting occur much less frequently than indicated by existing tests. …
Persistent link: https://www.econbiz.de/10011636475
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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
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Forecasting using random subspace methods
Boot, Tom; Nibbering, Didier - 2016
provide a theoretical justification of the use of random subspace methods and show their usefulness when forecasting monthly …
Persistent link: https://www.econbiz.de/10011531132
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Forecasting using DSGE models with financial frictions
Kolasa, Marcin; Rubaszek, Michał - In: International journal of forecasting 31 (2015) 1, pp. 1-19
Persistent link: https://www.econbiz.de/10011327140