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The M5 competition : conclusions
Makridakis, Spyros G.; Petropoulos, Fotios; Spiliotis, … - In: International journal of forecasting 38 (2022) 4, pp. 1576-1582
Persistent link: https://www.econbiz.de/10014381176
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Special issue: M5 competition
Makridakis, Spyros G. (ed.); Petropoulos, Fotios (ed.);  … - 2022
Persistent link: https://www.econbiz.de/10014381184
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The M4 competition : bigger. stronger. better
Petropoulos, Fotios; Makridakis, Spyros G. - In: International journal of forecasting 36 (2020) 1, pp. 3-6
Persistent link: https://www.econbiz.de/10012405516
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The M4 competition : conclusions
Makridakis, Spyros G.; Petropoulos, Fotios - In: International journal of forecasting 36 (2020) 1, pp. 224-227
Persistent link: https://www.econbiz.de/10012414671
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The M5 competition : background, organization, and implementation
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1325-1336
Persistent link: https://www.econbiz.de/10014381084
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Predicting/hypothesizing the findings of the M5 competition
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 38 (2022) 4, pp. 1337-1345
Persistent link: https://www.econbiz.de/10014381085
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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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Exploring the representativeness of the M5 competition data
Theodorou, Evangelos; Wang, Shengjie; Kang, Yanfei; … - In: International journal of forecasting 38 (2022) 4, pp. 1500-1506
Persistent link: https://www.econbiz.de/10014381135
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The M4 competition: results, findings, conclusion and way forward
Makridakis, Spyros G.; Spiliotis, Evangelos; … - In: International journal of forecasting 34 (2018) 4, pp. 802-808
Persistent link: https://www.econbiz.de/10012031112