Chasing Demand: Learning and Earning in a Changing Environment
Published Online:11 Nov 2016https://doi.org/10.1287/moor.2016.0807
References
- (2009) Dynamic pricing for nonperishable products with demand learning. Oper. Res. 57(5):1169–1188.Link, Google Scholar
- (2005) A partially observed Markov decision process for dynamic pricing. Management Sci. 51(9):1400–1416.Link, Google Scholar
- (1990) Actively learning about demand and the dynamics of price adjustment. Econom. J. 100(402):882–898.Google Scholar
- (2002) Learning and control in a changing economic environment. J. Econom. Dynam. Control 26(9):1359–1377.Crossref, Google Scholar
- (1990) Adaptive Algorithms and Stochastic Approximations (Springer, Berlin).Crossref, Google Scholar
- (2009) Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms. Oper. Res. 57(6):1407–1420.Link, Google Scholar
- (2011) On the minimax complexity of pricing in a changing environment. Oper. Res. 59(1):66–79.Link, Google Scholar
- (2015) On the (surprising) sufficiency of linear models for dynamic pricing with demand learning. Management Sci. 61(4):723–739.Link, Google Scholar
- (2015) Non-stationary stochastic optimization. Oper. Res. 63(5):1227–1244.Link, Google Scholar
- (2012) Dynamic pricing under a general parametric choice model. Oper. Res. 60(4):965–980.Link, Google Scholar
- (1956) Exponential smoothing for predicting demand. Presented at the 10th National Meeting of the Operations Research Society of America, November 16, Operations Research Society of America, Providence, RI.Google Scholar
- (2013) Simple policies for dynamic pricing with imperfect forecasts. Oper. Res. 61(3):612–624.Link, Google Scholar
- (2015) Tracking the market: Dynamic pricing and learning in a changing environment. Eur. J. Oper. Res. 247(3):914–927.Crossref, Google Scholar
- (2014a) Mean square convergence rates for maximum quasi-likelihood estimators. Stochastic Systems 4(2):375–403.Link, Google Scholar
- (2014b) Simultaneously learning and optimizing using controlled variance pricing. Management Sci. 60(3):770–783.Link, Google Scholar
- (2010) Dynamic pricing with a prior on market response. Oper. Res. 58(1):16–29.Link, Google Scholar
- (2011) On upper-confidence bound policies for switching bandit problems. Kivinen J, Szepesvari C, Ukkonen E, Zeugmann T, eds. Proc. 22nd Internat. Conf. Algorithmic Learning Theory (ALT) (Springer, Berlin), 174–188.Crossref, Google Scholar
- (2015) Investment timing with incomplete information and multiple means of learning. Oper. Res. 63(2):442–457.Link, Google Scholar
- (2012) Bayesian dynamic pricing policies: Learning and earning under a binary prior distribution. Management Sci. 58(3):570–586.Link, Google Scholar
- (1957) Forecasting seasonals and trends by exponentially weighted moving averages. Memorandum 52, Office of Naval Research, U.S. Department of the Navy, Washington, DC.Google Scholar
- (1999) Optimal experimentation in a changing environment. Rev. Econom. Stud. 66(3):475–507.Crossref, Google Scholar
- (2014) Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies. Oper. Res. 62(5):1142–1167.Link, Google Scholar
- (1995) Sequential changepoint detection in quality control and dynamical systems. J. Roy. Statist. Soc. Ser. B (Methodological) 57(4):613–658.Google Scholar
- (2003) Stochastic approximation. Ann. Statist. 31(2):391–406.Crossref, Google Scholar
- (2003) Pricing and learning with uncertain demand. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2005) Pricing and Revenue Optimization (Stanford University Press, Stanford, CA).Crossref, Google Scholar
- (2010) Linearly parameterized bandits. Math. Oper. Res. 35(2):395–411.Link, Google Scholar
- (1995) Learning about variable demand in the long run. J. Econom. Dynam. Control 19(5):1283–1292.Crossref, Google Scholar
- (2010) Quickest detection problems: Fifty years later. Sequential Anal. 29(4):345–385.Crossref, Google Scholar
- (2009) Introduction to Nonparametric Estimation (Springer, New York).Crossref, Google Scholar
- (2014) Close the gaps: A learning-while-doing algorithm for a class of single-product revenue management problems. Oper. Res. 62(2):318–331.Link, Google Scholar
- (1960) Forecasting sales by exponentially weighted moving averages. Management Sci. 6(3):324–342.Link, Google Scholar

