Pairwise Choice Markov Chains

Preprint English OPEN
Ragain, Stephen; Ugander, Johan;
(2016)
  • Subject: Statistics - Machine Learning | Computer Science - Artificial Intelligence

As datasets capturing human choices grow in richness and scale---particularly in online domains---there is an increasing need for choice models that escape traditional choice-theoretic axioms such as regularity, stochastic transitivity, and Luce's choice axiom. In this ... View more
  • References (31)
    31 references, page 1 of 4

    [1] Ernest Adams and Samuel Messick. An axiomatic formulation and generalization of successive intervals scaling. Psychometrika, 23(4):355-368, 1958.

    [2] Austin R. Benson, Ravi Kumar, and Andrew Tomkins. On the relevance of irrelevant alternatives. In Proceedings of WWW, 2016.

    [3] Jose Blanchet, Guillermo Gallego, and Vineet Goyal. A markov chain approximation to choice modeling. In Proceedings of EC, pages 103-104, 2013.

    [4] Henry David Block, Jacob Marschak, et al. Random orderings and stochastic theories of responses. Contributions to Probability and Statistics, 2:97-132, 1960.

    [5] Axel Bo¨ rsch-Supan. On the compatibility of nested logit models with utility maximization. Journal of Econometrics, 43(3):373-388, 1990.

    [6] George EP Box. Science and statistics. Journal of the American Statistical Association, 71(356):791-799, 1976.

    [7] J Hayden Boyd and Robert E Mellman. The effect of fuel economy standards on the us automotive market: an hedonic demand analysis. Transportation Research Part A: General, 14(5-6):367-378, 1980.

    [8] Ralph Allan Bradley and Milton E Terry. Rank analysis of incomplete block designs the method of paired comparisons. Biometrika, 39(3-4):324-345, 1952.

    [9] Shou Chen and Thorsten Joachims. Modeling intransitivity in matchup and comparison data. In Proceedings of WSDM, 2016.

    [10] Gerard Debreu. Review of individual choice behavior: A theoretical analysis. The American Economic Review, 1960.

  • Related Organizations (6)
  • Metrics
Share - Bookmark