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Understanding algorithm aversion : when is advice from automation discounted?
Prahl, Andrew; Van Swol, Lyn M. - In: Journal of forecasting 36 (2017) 6, pp. 691-702
Persistent link: https://www.econbiz.de/10011861407
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Application of machine learning methods to risk assessment of financial statement fraud : evidence from China
Song, Xin-Ping; Hu, Zhi-Hua; Du, Jian-Guo; Sheng, Zhao-Han - In: Journal of forecasting 33 (2014) 8, pp. 611-626
Persistent link: https://www.econbiz.de/10011282843
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Forecasting unemployment in the euro area with machine learning
Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: Journal of forecasting 41 (2022) 3, pp. 551-566
Persistent link: https://www.econbiz.de/10013166160
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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
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Recession forecasting with high-dimensional data
Nevasalmi, Lauri - In: Journal of forecasting 41 (2022) 4, pp. 752-764
Persistent link: https://www.econbiz.de/10013287849
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Predicting financial crises with machine learning methods
Liu, Lanbiao; Chen, Chen; Wang, Bo - In: Journal of forecasting 41 (2022) 5, pp. 871-910
Persistent link: https://www.econbiz.de/10013287882
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Cryptocurrency exchanges : predicting which markets will remain active
Milunovich, George; Lee, Seung Ah - In: Journal of forecasting 41 (2022) 5, pp. 945-955
Persistent link: https://www.econbiz.de/10013287889
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Using deep (machine) learning to forecast US inflation in the COVID-19 era
Stoneman, David; Duca, John V. - In: Journal of forecasting 43 (2024) 4, pp. 894-902
Persistent link: https://www.econbiz.de/10014554047
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Forecasting air quality index considering socioeconomic indicators and meteorological factors : a data granularity perspective
Wang, Chih-Hsuan; Chang, Chia-Rong - In: Journal of forecasting 42 (2023) 5, pp. 1261-1274
Persistent link: https://www.econbiz.de/10014338870
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Using a machine learning approach and big data to augment WASDE forecasts : empirical evidence from US corn yield
Roznik, Mitchell; Mishra, Ashok K.; Boyd, Milton - In: Journal of forecasting 42 (2023) 6, pp. 1370-1384
Persistent link: https://www.econbiz.de/10014338902