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A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models

Citations

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Cited by:

  1. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2021. "On the estimation of discrete choice models to capture irrational customer behaviors," Papers 2109.03882, arXiv.org.
  2. Ningyuan Chen & Andre A. Cire & Ming Hu & Saman Lagzi, 2023. "Model-Free Assortment Pricing with Transaction Data," Management Science, INFORMS, vol. 69(10), pages 5830-5847, October.
  3. Gerardo Berbeglia & Agustín Garassino & Gustavo Vulcano, 2022. "A Comparative Empirical Study of Discrete Choice Models in Retail Operations," Management Science, INFORMS, vol. 68(6), pages 4005-4023, June.
  4. Jacob Feldman & Alice Paul & Huseyin Topaloglu, 2019. "Technical Note—Assortment Optimization with Small Consideration Sets," Operations Research, INFORMS, vol. 67(5), pages 1283-1299, September.
  5. Flores, Alvaro & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2019. "Assortment optimization under the Sequential Multinomial Logit Model," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1052-1064.
  6. Georgia Perakis & Charles Thraves, 2022. "On a Variation of Two-Part Tariff Pricing of Services: A Data-Driven Approach," Manufacturing & Service Operations Management, INFORMS, vol. 24(3), pages 1369-1387, May.
  7. Amin Eskandari & Koorush Ziarati & Alireza Nikseresht, 2025. "Bi-objective assortment optimization under a ranking-based choice model: formulation and solution approach using NSGA-II," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 568-583, December.
  8. Zhang, Bo & Hassini, Elkafi & Zhou, Yun & Zhao, Meng & Hu, Xiangpei, 2025. "Integrated differentiated time slot pricing and order dispatching with uncertain customer demand in on-demand food delivery," European Journal of Operational Research, Elsevier, vol. 323(2), pages 471-489.
  9. Ruxian Wang, 2021. "Technical Note—Consumer Choice and Market Expansion: Modeling, Optimization, and Estimation," Operations Research, INFORMS, vol. 69(4), pages 1044-1056, July.
  10. Nam Ho-Nguyen & Fatma Kılınç-Karzan, 2021. "Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models," Operations Research, INFORMS, vol. 69(4), pages 1228-1239, July.
  11. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2022. "On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1606-1625, May.
  12. Zhengchao Wang & Heikki Peura & Wolfram Wiesemann, 2024. "Randomized Assortment Optimization," Operations Research, INFORMS, vol. 72(5), pages 2042-2060, September.
  13. Hamed Sherafat Moula & S. Hadi Yaghoubyan & Razieh Malekhosseini & Karamollah Bagherifard, 2024. "Customer type discovery in hotel revenue management: a data mining approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(3), pages 238-248, June.
  14. Yi-Chun Akchen & Velibor V. Mišić, 2025. "Column-Randomized Linear Programs: Performance Guarantees and Applications," Operations Research, INFORMS, vol. 73(3), pages 1366-1383, May.
  15. Yi-Chun Akchen & Felipe Caro, 2026. "On Size Substitution and Its Role in Assortment and Inventory Planning," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 624-642, March.
  16. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
  17. Bradley Sturt, 2025. "The Value of Robust Assortment Optimization Under Ranking-Based Choice Models," Management Science, INFORMS, vol. 71(5), pages 4246-4265, May.
  18. Warley Almeida Silva & Margarida Carvalho & Sanjay Dominik Jena, 2026. "Dynamic Facility Location Under Cumulative Customer Demand," Transportation Science, INFORMS, vol. 60(1), pages 46-63, January.
  19. Fransisca Susan & Negin Golrezaei & Ehsan Emamjomeh-Zadeh & David Kempe, 2026. "Technical Note—Active Learning for Nonparametric Choice Models," Operations Research, INFORMS, vol. 74(2), pages 730-751, March.
  20. Alice Paul & Jacob Feldman & James Mario Davis, 2018. "Assortment Optimization and Pricing Under a Nonparametric Tree Choice Model," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 550-565, July.
  21. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
  22. Amirnequiee, Shobeir & Naoum-Sawaya, Joe & Pun, Hubert, 2026. "Robust framework for the joint learning of consumer preferences and market segmentation," Omega, Elsevier, vol. 138(C).
  23. Bas Donkers & Mohammad Ghaderi & Kamel Jedidi & Miłosz Kadziński, 2025. "Random Preference Model," Working Papers 1502, Barcelona School of Economics.
  24. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 0. "Discovering customer types using sales transactions and product availability data of 5 hotel datasets with genetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 0, pages 1-15.
  25. Xiyuan Ren & Joseph Y. J. Chow & Prateek Bansal, 2023. "Nonparametric mixed logit model with market-level parameters estimated from market share data," Papers 2309.13159, arXiv.org, revised Apr 2025.
  26. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
  27. Ningyuan Chen & Ming Hu, 2023. "Frontiers in Service Science: Data-Driven Revenue Management: The Interplay of Data, Model, and Decisions," Service Science, INFORMS, vol. 15(2), pages 79-91, June.
  28. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
  29. Ruxian Wang & Ozge Sahin, 2018. "The Impact of Consumer Search Cost on Assortment Planning and Pricing," Management Science, INFORMS, vol. 64(8), pages 3649-3666, August.
  30. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2020. "Discovering customer types using sales transactions and product availability data of 5 hotel datasets with genetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 386-400, December.
  31. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2022. "A customer type discovery algorithm in hotel revenue management systems," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 200-211, April.
  32. Sebastian Vock & Laurie A. Garrow & Catherine Cleophas, 2022. "Clustering as an approach for creating data-driven perspectives on air travel itineraries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 212-227, April.
  33. Hamed Sherafat Moula & S. Hadi Yaghoubyan & Razieh Malekhosseini & Karamollah Bagherifard, 2023. "Customer type discovery in hotel revenue management by Memetic algorithm," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(6), pages 470-481, December.
  34. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
  35. Joonkyum Lee & Vishal Gaur & Suresh Muthulingam & Gary F. Swisher, 2016. "Stockout-Based Substitution and Inventory Planning in Textbook Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 104-121, February.
  36. Johannes F. Jörg & Catherine Cleophas, 2022. "Nonparametric estimation of customer segments from censored sales panel data," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 393-417, August.
  37. Robert Klein & Michael Neugebauer & Dimitri Ratkovitch & Claudius Steinhardt, 2019. "Differentiated Time Slot Pricing Under Routing Considerations in Attended Home Delivery," Service Science, INFORMS, vol. 53(1), pages 236-255, February.
  38. Garrett van Ryzin & Gustavo Vulcano, 2017. "Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand," Operations Research, INFORMS, vol. 65(2), pages 396-407, April.
  39. Philipp Bartke & Natalia Kliewer & Catherine Cleophas, 2018. "Benchmarking filter-based demand estimates for airline revenue management," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(1), pages 57-88, March.
  40. Dohyun Ahn & Dongwook Shin & Assaf Zeevi, 2025. "Feature Misspecification in Sequential Learning Problems," Management Science, INFORMS, vol. 71(5), pages 4066-4086, May.
  41. Mohammad Ghaderi & Kamel Jedidi & Miłosz Kadziński & Bas Donkers, 2025. "Random preference model," Economics Working Papers 1913, Department of Economics and Business, Universitat Pompeu Fabra.
  42. Qi Feng & J. George Shanthikumar, 2022. "Developing operations management data analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4544-4557, December.
  43. Barbier, Thibault & Anjos, Miguel F. & Cirinei, Fabien & Savard, Gilles, 2020. "Product-closing approximation for ranking-based choice network revenue management," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1002-1017.
  44. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
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