Offline Pricing and Demand Learning with Censored Data

References

• Agrawal S, Jia R (2019) Learning in structured mdps with convex cost functions: Improved regret bounds for inventory management. Proc. 2019 ACM Conf. Econom. Comput. (ACM, New York), 743–744.Google Scholar
• Ban G-Y (2020) Confidence intervals for data-driven inventory policies with demand censoring. Oper. Res. 68(2):309–326.Abstract, Google Scholar
• Ban G-Y, Rudin C (2019) The big data newsvendor: Practical insights from machine learning. Oper. Res. 67(1):90–108.Link, Google Scholar
• Ban G-Y, Gao Z, Taigel F (2020) Model mis-specification in newsvendor decisions: A comparison of frequentist parametric, Bayesian parametric and nonparametric approaches. Preprint, submitted January 1, https://dx.doi.org/10.2139/ssrn.3495733.Google Scholar
• Besbes O, Muharremoglu A (2013) On implications of demand censoring in the newsvendor problem. Management Sci. 59(6):1407–1424.Link, Google Scholar
• Besbes O, Zeevi A (2015) On the (surprising) sufficiency of linear models for dynamic pricing with demand learning. Management Sci. 61(4):723–739.Link, Google Scholar
• Buckley J, James I (1979) Linear regression with censored data. Biometrika 66(3):429–436.Crossref, Google Scholar
• Chen B (2021) Data-driven inventory control with shifting demand. Production Oper. Management 30(5):1365–1385.Google Scholar
• Chen B, Chao X (2020) Dynamic inventory control with stockout substitution and demand learning. Management Sci. 66(11):5108–5127.Link, Google Scholar
• Chen B, Shi C (2019) Tailored base-surge policies in dual-sourcing inventory systems with demand learning. Preprint, submitted September 27, https://dx.doi.org/10.2139/ssrn.3456834.Google Scholar
• Chen B, Chao X, Ahn H-S (2019) Coordinating pricing and inventory replenishment with nonparametric demand learning. Oper. Res. 67(4):1035–1052.Abstract, Google Scholar
• Chen B, Chao X, Shi C (2021) Nonparametric algorithms for joint pricing and inventory control with lost-sales and censored demand. Math. Oper. Res. 46(2):726–756.Google Scholar
• Chen B, Chao X, Wang Y (2020) Data based dynamic pricing and inventory control with censored demand and limited price changes. Oper. Res. 68(5):1445–1456.Google Scholar
• Cheung WC, Simchi-Levi D (2019) Sampling-based approximation schemes for capacitated stochastic inventory control models. Math. Oper. Res. 44(2):668–692.Link, Google Scholar
• Cox DR (1972) Regression models and life-tables. J. Roy. Statist. Soc. B 34(2):187–202.Crossref, Google Scholar
• Dawes RM (1979) The robust beauty of improper linear models in decision making. Amer. Psych. 34(7):571.Crossref, Google Scholar
• den Boer AV (2015) Dynamic pricing and learning: Historical origins, current research, and new directions. Surveys Oper. Res. Management Sci. 20(1):1–18.Crossref, Google Scholar
• Feng Q, Shanthikumar JG (2018) How research in production and operations management may evolve in the era of big data. Production Oper. Management 27(9):1670–1684.Crossref, Google Scholar
• Feng Q, Luo S, Shanthikumar JG (2020) Integrating dynamic pricing with inventory decisions under lost sales. Management Sci. 66(5):2232–2247.Link, Google Scholar
• Fernandez L (1986) Non-parametric maximum likelihood estimation of censored regression models. J. Econometrics 32(1):35–57.Crossref, Google Scholar
• Foxman S (2013) The US is home to one third of the world’s data—here’s who’s storing it. Accessed March 19, 2022, https://qz.com/104868/the-us-is-home-to-one-third-of-the-worlds-data-heres-whos-storing-it.Google Scholar
• Huh WT, Rusmevichientong P (2009) A nonparametric asymptotic analysis of inventory planning with censored demand. Math. Oper. Res. 34(1):103–123.Link, Google Scholar
• Huh WT, Janakiraman G, Muckstadt JA, Rusmevichientong P (2009) An adaptive algorithm for finding the optimal base-stock policy in lost sales inventory systems with censored demand. Math. Oper. Res. 34(2):397–416.Link, Google Scholar
• Huh WT, Levi R, Rusmevichientong P, Orlin JB (2011) Adaptive data-driven inventory control with censored demand based on Kaplan-Meier estimator. Oper. Res. 59(4):929–941.Link, Google Scholar
• Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J. Amer. Statist. Assoc. 53(282):457–481.Crossref, Google Scholar
• Koul H, Susarla V, Van Ryzin J (1981) Regression analysis with randomly right-censored data. Ann. Statist. 9(6):1276–1288.Crossref, Google Scholar
• Levi R, Perakis G, Uichanco J (2015) The data-driven newsvendor problem: New bounds and insights. Oper. Res. 63(6):1294–1306.Link, Google Scholar
• Levi R, Roundy RO, Shmoys DB (2007) Provably near-optimal sampling-based policies for stochastic inventory control models. Math. Oper. Res. 32(4):821–839.Link, Google Scholar
• Lewbel A, Linton O (2002) Nonparametric censored and truncated regression. Econometrica 70(2):765–779.Crossref, Google Scholar
• Lugosi G, Markakis MG, Neu G (2017) On the hardness of inventory management with censored demand data. Preprint, submitted October 16, https://arxiv.org/abs/1710.05739.Google Scholar
• Miller RG (1976) Least squares regression with censored data. Biometrika 63(3):449–464.Crossref, Google Scholar
• Powell JL (1984) Least absolute deviations estimation for the censored regression model. J. Econometrics 25(3):303–325.Crossref, Google Scholar
• Qin H, Simchi-Levi D, Wang L (2022) Data-driven approximation schemes for joint pricing and inventory control models. Management Sci., ePub ahead of print January 21, https://doi.org/10.1287/mnsc.2021.4212.Google Scholar
• Rahimian H, Mehrotra S (2019) Distributionally robust optimization: A review. Preprint, submitted August 13, https://arxiv.org/abs/1908.05659.Google Scholar
• Tobin J (1958) Estimation of relationships for limited dependent variables. Econometrica 26(1):24–36.Crossref, Google Scholar
• Yuan H, Luo Q, Shi C (2021) Marrying stochastic gradient descent with bandits: Learning algorithms for inventory systems with fixed costs. Management Sci. 67(10):6089–6115.Google Scholar
• Zhang H, Chao X, Shi C (2018) Perishable inventory systems: Convexity results for base-stock policies and learning algorithms under censored demand. Oper. Res. 66(5):1276–1286.Link, Google Scholar
• Zhang H, Chao X, Shi C (2020) Closing the gap: A learning algorithm for lost-sales inventory systems with lead times. Management Sci. 66(5):1962–1980.Link, Google Scholar