Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation Models

T1Covered by 1 source · first reported by arXiv at 24 Sept, 04:00 UTC

arXiv:2609.25788v1 Announce Type: cross Abstract: Time Series Foundation Models (TSFMs) promise a paradigm shift toward zero-shot forecasting by eliminating task-specific training. However, existing works often overlook trade-offs between predictive accuracy and probabilistic calibration. This…

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• T1Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation ModelsarXiv24 Sept, 04:00