Optimal Feature-Based Newsvendor Policies under Censored Demand
We investigate a newsvendor problem where a decision-maker observes a z-dimensional vector of covariates, and wants to learn how much stock to order given a sample of size n of censored demand data to minimize costs. Demand is censored when insufficient stock is available to meet it, and past stocking quantities are kn...