Point-wise losses induce an irreducible bias in time series forecasting governed by sequence length and structural signal-to-noise ratio; DFT/DWT orthogonalization plus a harmonized lp norm reduces it and improves accuracy.
Out of 36 experimental scenarios, our method achieves13 first places and 20 second places in MSE, resulting in a 91.7% Top-2 coverage
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The Procrustean Bed of Time Series: The Optimization Bias in Point-wise Loss Functions
Point-wise losses induce an irreducible bias in time series forecasting governed by sequence length and structural signal-to-noise ratio; DFT/DWT orthogonalization plus a harmonized lp norm reduces it and improves accuracy.