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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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Machine learning applications in household-level demand prediction
Zhao, Shuoli; Lai, Yufeng; Ye, Chenglong; Lee, Keehyun - In: Applied economics letters 31 (2024) 1, pp. 5-11
Persistent link: https://www.econbiz.de/10014441963
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Can machine learning on economic data better forecast the unemployment rate?
Kreiner, Aaron; Duca, John V. - In: Applied economics letters 27 (2020) 17, pp. 1434-1437
Persistent link: https://www.econbiz.de/10012313923
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An AutoML application to forecasting bank failures
Agrapetidou, Anna; Charonyktakis, Paulos; Gkonkas, Periklēs - In: Applied economics letters 28 (2021) 1, pp. 5-9
Persistent link: https://www.econbiz.de/10012415035
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Predicting money laundering sanctions using machine learning algorithms and artificial neural networks
Lokanan, Mark E. - In: Applied economics letters 31 (2024) 12, pp. 1112-1118
Persistent link: https://www.econbiz.de/10014558696
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A machine learning approach to forecasting carry trade returns
Wang, Xiao; Xie, Xiao; Chen, Yihua; Zhao, Borui - In: Applied economics letters 29 (2022) 13, pp. 1199-1204
Persistent link: https://www.econbiz.de/10013412080
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Mind the gap : forecasting euro-area output gaps with machine learning
Sofianos, Emmanouil; Gkonkas, Periklēs; Papadimitriou, … - In: Applied economics letters 29 (2022) 19, pp. 1824-1828
Persistent link: https://www.econbiz.de/10013412312
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Exchange rates forecasting and trend analysis after the COVID-19 outbreak : new evidence from interpretable machine learning
Su, Zhi; Cai, Xuanye; Wu, You - In: Applied economics letters 30 (2023) 15, pp. 2052-2059
Persistent link: https://www.econbiz.de/10014324871
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Forecasting Spanish economic activity in times of COVID-19 by means of the RT-LEI and machine learning techniques
Poza, Carlos; Monge González, Manuel - In: Applied economics letters 30 (2023) 4, pp. 472-477
Persistent link: https://www.econbiz.de/10013553654
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Improving econometric prediction by machine learning
Cerulli, Giovanni - In: Applied economics letters 28 (2021) 16, pp. 1419-1425
Persistent link: https://www.econbiz.de/10012609694