Demand-conditioned model selection across demand patterns and horizons; study gauges whether the selector should be context-dependent across 24 models and nine datasets
Read the original at arxiv.org→arXiv:2609.04425v1 Announce Type: new Abstract: Forecasting-model selection remains difficult in heterogeneous demand because the most suitable decision rule may vary with demand structure, data availability, and...
Original headline: "Beyond a Universal Forecasting Selector: Demand-Conditioned Model Selection across Demand Patterns and Horizons"
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- Sep 7, 04:00 UTC arXiv cs.LG lead source Beyond a Universal Forecasting Selector: Demand-Conditioned Model Selection across Demand Patterns and Horizons