Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Ioannis Nasios, Konstantinos Vogklis
Year of publication: |
2022
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Authors: | Nasios, Ioannis ; Vogklis, Konstantinos |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 38.2022, 4, p. 1448-1459
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Subject: | Gradient boosted trees | M5 Competition | Machine learning | Neural networks | Point forecast | Probabilistic forecast | Regression models | Neuronale Netze | Prognoseverfahren | Forecasting model | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Wahrscheinlichkeitsrechnung | Probability theory | Zeitreihenanalyse | Time series analysis | Regressionsanalyse | Regression analysis | Prognose | Forecast |
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