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.
The Annals of Statistics 51(2):816--845
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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.