Time series forecasting presents a fundamental challenge due to its intrinsic non-determinism, making it difficult to predict future values accurately. Traditional methods generally employ point forecasting, providing a single deterministic value that cannot describe the range of possible values. Although recent deep learning methods have improved forecasting precision, they require task-specific training and do not […]
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