Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss
Prediction methods have garnered significant attention in intelligent decision-making. Most existing approaches to predicting crude oil prices prioritize accuracy and stability while providing precise prediction intervals that can offer valuable insights. Thus far, we introduced a novel hybrid model...
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Main Authors: | Zhesen Cui, Tian Li, Zhe Ding, Xi'an Li, Jinran Wu |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2025-09-01
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Series: | Data Science and Management |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666764924000547 |
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