Auto-calibration of forecast sequences equals measure-valued martingales, enabling a statistical test for calibration of updating predictions.
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A multi-objective probabilistic forecast combination framework is introduced that generates Pareto-optimal combinations balancing forecast accuracy and inventory decision performance, outperforming single-objective methods on retail and spare parts data.
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Calibrated Probability Forecast Sequences and Measure-Valued Martingales
Auto-calibration of forecast sequences equals measure-valued martingales, enabling a statistical test for calibration of updating predictions.