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Machine learning to predict grains futures prices
Brignoli, Paolo Libenzio; Varacca, Alessandro; … - In: Agricultural economics : the journal of the … 55 (2024) 3, pp. 479-497
Persistent link: https://www.econbiz.de/10014562813
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Forecasting earnings using k-nearest neighbors
Easton, Peter D.; Kapons, Martin M.; Monahan, Steven J.; … - In: The accounting review : a publication of the American … 99 (2024) 3, pp. 115-140
Persistent link: https://www.econbiz.de/10014536452
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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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Deep learning models for inflation forecasting
Theoharidis, Alexandre Fernandes; Guillén, Diogo Abry; … - 2022
Persistent link: https://www.econbiz.de/10013337509
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Weekly forecasting of new COVID-19 cases using past viral load measurements
Khalil, Athar; Handawi, Khalil Al; Mohsen, Zeina; Nour, … - 2022 - Revised: May 2022
Persistent link: https://www.econbiz.de/10013341253
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Reference class forecasting and machine learning for improved offshore oil and gas megaproject planning : methods and application
Natarajan, Ananth - In: Project management journal 53 (2022) 5, pp. 456-484
Persistent link: https://www.econbiz.de/10013388937
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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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Machine learning methods for inflation forecasting in Brazil: new contenders versus classical models
Araújo, Gustavo Silva; Gaglianone, Wagner Piazza - 2022
Persistent link: https://www.econbiz.de/10013461149
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For better or worse? : revenue forecasting with machine learning approaches
Chung, Il Hwan; Williams, Daniel W.; Do, Myung Rok - In: Public performance & management review 45 (2022) 5, pp. 1133-1154
Persistent link: https://www.econbiz.de/10013493128
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Decomposing USDA ending stocks forecast errors
Goyal, Raghav; Adjemian, Michael K.; Glauber, Joseph W.; … - In: Journal of agricultural and resource economics : JARE ; … 48 (2023) 2, pp. 260-276
Persistent link: https://www.econbiz.de/10014328136