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Probabilistic recalibration of forecasts
Graziani, Carlo; Rosner, Robert; Adams, Jennifer M.; … - In: International journal of forecasting 37 (2021) 1, pp. 1-27
Persistent link: https://www.econbiz.de/10012692513
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Simple averaging of direct and recursive forecasts via partial pooling using machine learning
In, YeonJun; Jung, Jae-Yoon - In: International journal of forecasting 38 (2022) 4, pp. 1386-1399
Persistent link: https://www.econbiz.de/10014381094
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Portfolio selection under non-gaussianity and systemic risk : a machine learning based forecasting approach
Lin, Weidong; Taamouti, Abderrahim - In: International journal of forecasting 40 (2024) 3, pp. 1179-1188
Persistent link: https://www.econbiz.de/10014547268
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Wage against the machine : a generalized deep-learning market test of dataset value
Maymin, Philip Z. - In: International journal of forecasting 35 (2019) 2, pp. 776-782
Persistent link: https://www.econbiz.de/10012300728
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How to "improve" prediction using behavior modification
Shmueli, Galit; Tafti, Ali - In: International journal of forecasting 39 (2023) 2, pp. 541-555
Persistent link: https://www.econbiz.de/10014465055
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Classification of intraday s&p500 returns with a random forest
Lohrmann, Christoph; Luukka, Pasi - In: International journal of forecasting 35 (2019) 1, pp. 390-407
Persistent link: https://www.econbiz.de/10012300660
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Graded forecasting using an array of bipolar predictions : application of probabilistic neural networks to a stock market index
Kim, Steven H.; Se Hak, Chun - In: International journal of forecasting 14 (1998) 3, pp. 323-337
Persistent link: https://www.econbiz.de/10001367678
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Correlation analysis of forecasting methods : the case of the M4 competition
Agathangelou, Pantelis; Trihinas, Demetris; Katakis, Ioannis - In: International journal of forecasting 36 (2020) 1, pp. 212-216
Persistent link: https://www.econbiz.de/10012414644
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Machine learning for regularized survey forecast combination : partially-egalitarian LASSO and its derivatives
Diebold, Francis X.; Shin, Minchul - In: International journal of forecasting 35 (2019) 4, pp. 1679-1691
Persistent link: https://www.econbiz.de/10012305515
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Combining wavelet decomposition with machine learning to forecast gold returns
Risse, Marian - In: International journal of forecasting 35 (2019) 2, pp. 601-615
Persistent link: https://www.econbiz.de/10012300704