paper
arXiv cs.LG
November 18th, 2025 at 5:00 AMStochastic Predictive Analytics for Stocks in the Newsvendor Problem
arXiv:2511.12397v1 Announce Type: cross Abstract: This work addresses a key challenge in inventory management by developing a stochastic model that describes the dynamic distribution of inventory stock over time without assuming a specific demand distribution. Our model provides a flexible and applicable solution for situations with limited historical data and short-term predictions, making it well-suited for the Newsvendor problem. We evaluate our model's performance using real-world data from a large electronic marketplace, demonstrating its effectiveness in a practical forecasting scenario.
Score: 2.80
Engagement proxy: 0
Canonical link: https://arxiv.org/abs/2511.12397