Foundation models for time series forecasting (2/2)
Time series foundation models enhance conformal prediction through higher forecasting accuracy and more stable calibration, especially in low-data scenarios.
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Time series foundation models enhance conformal prediction through higher forecasting accuracy and more stable calibration, especially in low-data scenarios.
Foundation models offer a powerful alternative for time series forecasting, boosting accuracy and reliability across diverse applications.
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