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Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach

arXiv:2609.39397v1 Announce Type: new Abstract: We study data-driven multi-period lost-sales inventory control under censored demand, where a stockout reveals only that demand exceeded the stocking level. We develop a unified, model-based framework for policy learning from censored data, built on a…

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  1. 2026-10-01 04:00 · arXiv stat.ML
    Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach

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