References
- Araman, V. F., & Caldentey, R. A. (2009). Dynamic pricing for nonperishable products with demand learning. Operations Research, 57, 1169–1188.10.1287/opre.1090.0725
- Aviv, Y., & Pazgal, A. (2005). A partially observed Markov decision process for dynamic pricing. Management Science, 51, 1400–1416.10.1287/mnsc.1050.0393
- Ball, M., & Queyranne, M. (2006). Toward robust revenue management: Competitive analysis of online booking (Working Paper). Baltimore, MD: University of Maryland.
- Besbes, O., & Zeevi, A. (2006). Blind nonparametric revenue management (Working Paper). New York, NY: Columbia University.
- Broadie, M., Deniz, M. C., & Assaf, Z. (2009). An adaptive multidimensional version of the Kiefer–Wolfowitz stochastic approximation algorithm. Proceedings of the 2009 Winter Simulation Conference, Austin, TX.
- Eren, S., Maglaras, C., & Ryzin, G. V. (2006). Pricing and product positioning without market information (Working Paper). New York, NY: Columbia University.
- Farias, V. F., & Roy, B. V. (2009). Dynamic pricing with a prior on market response. Operations Research, 58, 16–19.
- Futschik, A., & Georg, C. F. (1996). Asymptotically optimal allocation of simulation experiments in discrete stochastic optimization (Working Paper). Luxembourg.
- Gallego, G., & Ryzin, G. V. (1994). Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Science, 40, 999–1020.10.1287/mnsc.40.8.999
- Geraghty, M. K., & Johnson, E. (1997). Revenue management saves National car rental. Interfaces, 1, 107–127.10.1287/inte.27.1.107
- Glynn, P. W., & Ward, W. (1992). The asymptotic validity of sequential stopping rules for stochastic simulations. The Annals of Applied Probability, 2, 180–198.10.1214/aoap/1177005777
- Hutchison, D. W., & Spall, J. C. (2008). Stopping stochastic approximation (Working Paper). St. Lous, MO.
- Kiefer, J., & Wolfowitz, J. (1952). Stochastic estimation of the maximum of a regression function. The Annals of Mathematical Statistics, 23, 462–466.10.1214/aoms/1177729392
- Larson, K. (2015). Can you use dynamic pricing? Portland, ME: Arts knowledge.
- Lim, A., & Shanthikumar, J. (2007). Relative entropy, exponential utility, and robust dynamic pricing. Operations Research, 55, 198–214.10.1287/opre.1070.0385
- Lin, E. (2009). Newton–Raphson version of stochastic approximation over discrete sets. Proceedings of the 2009 Winter Simulation Conference, Austin, TX.
- Lin, K. Y. (2004). Dynamic pricing with real-time demand learning. European Journal of Operational Research, 174, 522–538.
- Olafsson, S., & Leyuan, S. (1998). Stopping criterion for a simulation-based optimization method. In Proceedings of the 1998 Simulation Winter Conference (pp. 743–750). Washington, DC.
- Pashigan, P. P. B., & Bowen, B. (1991). Why are products sold on sale? Explanations of pricing regularities. Quarterly Journal of Economics, 106, 1015–1038.10.2307/2937955
- Rusmevichientong, P., Roy, B. V., & Glynn, P. W. (2006). A non-parametric approach to multiproduct pricing. Operations Research, 54, 82–98.10.1287/opre.1050.0252
- Ryzin, G. V., & Mc Gill, J. (2000). Revenue management without forecasting or optimization: An adaptive algorithm for airline seat protection levels. Management Science, 46, 760–775.10.1287/mnsc.46.6.760.11936
- Xu, Z., & Yu-Hong, D. (2008). A stochastic approximation frame algorithm with adaptive directions. Numerical Mathematics: Theory Methods and Applications, 1, 460–474.