Neural network-parameterized regression splines enable joint optimization of forecast quality and stability in distribution-free probabilistic time series models by penalizing dissimilarities from forecast updates.
European Journal of Operational Research 314, 111–121
2 Pith papers cite this work. Polarity classification is still indexing.
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A cost-sensitive trigger using specification debt for deciding when to re-specify forecasting model forms, shown on M4 data to match full-update accuracy at 28% of the compute cost.
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When Should Forecasting Models Be Re-Specified? A Cost-Sensitive Trigger for Adaptive Model-Form Updating
A cost-sensitive trigger using specification debt for deciding when to re-specify forecasting model forms, shown on M4 data to match full-update accuracy at 28% of the compute cost.