A conformal bias-correction step (global training with local calibration) is proposed to improve quantile predictions for newsvendor decisions under model misspecification, with claimed conditional coverage guarantees that lack proofs.
(2023) Conformal prediction: A gentle introduction
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A Conformal Approach to Feature-based Newsvendor under Model Misspecification
A conformal bias-correction step (global training with local calibration) is proposed to improve quantile predictions for newsvendor decisions under model misspecification, with claimed conditional coverage guarantees that lack proofs.