IDEAS home Printed from https://ideas.repec.org/r/cwl/cwldpp/66.html
   My bibliography  Save this item

Random Orderings and Stochastic Theories of Response

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Felderhof, B.U., 1997. "Thermocapillary effects in a suspension of droplets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 235(1), pages 48-55.
  2. Mihir Bhattacharya & Saptarshi Mukherjee & Ruhi Sonal, 2019. "Attention and Framing," Working Papers 1027, Ashoka University, Department of Economics.
  3. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric Welfare and Demand Analysis with Unobserved Individual Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 349-361, May.
  4. Nax, Heinrich Harald & Newton, Jonathan, 2022. "Deep and shallow thinking in the long run," Theoretical Economics, Econometric Society, vol. 17(4), November.
  5. 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.
  6. Arjun Seshadri & Johan Ugander, 2020. "Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice," Papers 2001.07042, arXiv.org.
  7. Turansick, Christopher, 2022. "Identification in the random utility model," Journal of Economic Theory, Elsevier, vol. 203(C).
  8. Gomez, Yolanda & Rios, Jesus & Rios Insua, David & Vila, Jose, 2025. "Forecasting adversarial actions using judgment decomposition-recomposition," International Journal of Forecasting, Elsevier, vol. 41(1), pages 76-91.
  9. Ningyuan Chen & Guillermo Gallego & Zhuodong Tang, 2019. "The Use of Binary Choice Forests to Model and Estimate Discrete Choices," Papers 1908.01109, arXiv.org, revised Apr 2024.
  10. John N. Ng’ombe & B. Wade Brorsen, 2022. "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 71-97, June.
  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. Fedor Sandomirskiy & Po Hyun Sung & Omer Tamuz & Ben Wincelberg, 2023. "Independence of Irrelevant Decisions in Stochastic Choice," Papers 2312.04827, arXiv.org, revised May 2025.
  13. Chambers, Christopher P. & Masatlioglu, Yusufcan & Turansick, Christopher, 2024. "Correlated choice," Theoretical Economics, Econometric Society, vol. 19(3), July.
    • Christopher P. Chambers & Yusufcan Masatlioglu & Christopher Turansick, 2021. "Correlated Choice," Papers 2103.05084, arXiv.org, revised Mar 2023.
  14. Paul H. Y. Cheung & Yusufcan Masatlioglu, 2025. "Frame-dependent Random Utility," Papers 2502.00209, arXiv.org.
  15. Hwang, Sung-Ha & Lim, Wooyoung & Neary, Philip & Newton, Jonathan, 2018. "Conventional contracts, intentional behavior and logit choice: Equality without symmetry," Games and Economic Behavior, Elsevier, vol. 110(C), pages 273-294.
  16. Rodrigues-Neto, José A. & Ryan, Matthew & Taylor, James, 2025. "Cycle conditions for “Luce rationality”," Journal of Mathematical Economics, Elsevier, vol. 117(C).
  17. Bhattacharya, Mihir & Mukherjee, Saptarshi & Sonal, Ruhi, 2021. "Frame-based stochastic choice rule," Journal of Mathematical Economics, Elsevier, vol. 97(C).
  18. Nobuo Koida & Koji Shirai, 2024. "A dual approach to nonparametric characterization for random utility models," Papers 2403.04328, arXiv.org, revised Jun 2024.
  19. David Muller & Emerson Melo & Ruben Schlotter, 2023. "A Distributionally Robust Random Utility Model," Papers 2303.05888, arXiv.org.
  20. Yi-Chun Chen & Velibor V. Mišić, 2022. "Decision Forest: A Nonparametric Approach to Modeling Irrational Choice," Management Science, INFORMS, vol. 68(10), pages 7090-7111, October.
  21. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
  22. Yang, Erya & Kopylov, Igor, 2023. "Random quasi-linear utility," Journal of Economic Theory, Elsevier, vol. 209(C).
  23. Mihir Bhattacharya & Saptarshi Mukherjee & Ruhi Sonal, 2019. "Attention and Framing," Working Papers 18, Ashoka University, Department of Economics.
  24. Liu, Jian & Sun, Hailin & Xu, Huifu, 2025. "Bayesian Nash Equilibrium in price competition under multinomial logit demand," European Journal of Operational Research, Elsevier, vol. 324(2), pages 669-689.
  25. Chambers, Christopher P. & Turansick, Christopher, 2025. "The limits of identification in discrete choice," Games and Economic Behavior, Elsevier, vol. 150(C), pages 537-551.
  26. Christopher Turansick, 2023. "Random Utility, Repeated Choice, and Consumption Dependence," Papers 2302.05806, arXiv.org, revised Oct 2023.
  27. Emerson Melo, 2021. "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers 2022-003 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  28. Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio, 2021. "Roman holiday: Tourist heterogeneous preferences for walking path elements," Research in Transportation Economics, Elsevier, vol. 90(C).
  29. Vasilyev, Andrey & Maier, Sebastian & Seifert, Ralf W., 2023. "Assortment optimization using an attraction model in an omnichannel environment," European Journal of Operational Research, Elsevier, vol. 306(1), pages 207-226.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.