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Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika; Venkitasubramony, Rakesh - In: International journal of forecasting 40 (2024) 1, pp. 247-267
Persistent link: https://www.econbiz.de/10014450269
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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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A dynamic artificial neural network model for forecasting time series events
Ghiassi, M.; Saidane, H.; Zimbra, D. K. - In: International journal of forecasting 21 (2005) 2, pp. 341-362
Persistent link: https://www.econbiz.de/10002688154
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Post-scrip-retail forecasting : research and practice
Fildes, Robert; Kolassa, Stephan; Ma, Shaohui - In: International journal of forecasting 38 (2022) 4, pp. 1319-1324
Persistent link: https://www.econbiz.de/10014381083
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M5 accuracy competition : results, findings, and conclusions
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1346-1364
Persistent link: https://www.econbiz.de/10014381087
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The M5 uncertainty competition : results, findings and conclusions
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1365-1385
Persistent link: https://www.econbiz.de/10014381091
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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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Forecasting with gradient boosted trees : augmentation, tuning, and cross-validation strategies : winning solution to the M5 uncertainty competition
Lainder, A. David; Wolfinger, Russell D. - In: International journal of forecasting 38 (2022) 4, pp. 1426-1433
Persistent link: https://www.econbiz.de/10014381101
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Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Nasios, Ioannis; Vogklis, Konstantinos - In: International journal of forecasting 38 (2022) 4, pp. 1448-1459
Persistent link: https://www.econbiz.de/10014381109
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The performance of the global bottom-up approach in the M5 accuracy competition : a robustness check
Ma, Shaohui; Fildes, Robert - In: International journal of forecasting 38 (2022) 4, pp. 1492-1499
Persistent link: https://www.econbiz.de/10014381130