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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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Forecasting core inflation : the case of South Africa
Ruch, Franz; Balcilar, Mehmet; Gupta, Rangan; Modise, … - In: Applied economics 52 (2020) 28, pp. 3004-3022
Persistent link: https://www.econbiz.de/10012221472
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Forecasting South African inflation using non-linearmodels : a weighted loss-based evaluation
Kanda, Patrick T.; Balcilar, Mehmet; Bahramian, Pejman; … - In: Applied economics 48 (2016) 25/27, pp. 2412-2427
Persistent link: https://www.econbiz.de/10011591098
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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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The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US
Balcilar, Mehmet; Gupta, Rangan; Miller, Stephen M. - In: Applied economics 47 (2015) 22/24, pp. 2259-2277
Persistent link: https://www.econbiz.de/10010516653
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Was the recent downturn in US real GDP predictable?
Balcilar, Mehmet; Gupta, Rangan; Majumdar, Anandamayee; … - In: Applied economics 47 (2015) 28/30, pp. 2985-3007
Persistent link: https://www.econbiz.de/10011289393