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Conjugacy class prior distributions on metric‐based ranking models

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  • Jayanti Gupta
  • Paul Damien

Abstract

Summary. A new class of prior distributions for metric‐based models in the analysis of fully and partially ranked data is developed. This class is attractive because it provides a meaningful way to encapsulate prior information about the parameters of the model. Three examples illustrate the ideas developed in the paper.

Suggested Citation

  • Jayanti Gupta & Paul Damien, 2002. "Conjugacy class prior distributions on metric‐based ranking models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 433-445, August.
    • Handle: RePEc:bla:jorssb:v:64:y:2002:i:3:p:433-445
    DOI: 10.1111/1467-9868.00343
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    3. David Mackay & Seoil Chaiy, 1982. "Parameter estimation for the thurstone case III model," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 353-359, September.
    4. Frederick Mosteller, 1951. "Remarks on the method of paired comparisons: I. The least squares solution assuming equal standard deviations and equal correlations," Psychometrika, Springer;The Psychometric Society, vol. 16(1), pages 3-9, March.
    5. R. L. Plackett, 1975. "The Analysis of Permutations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(2), pages 193-202, June.
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    Cited by:

    1. Ekhine Irurozki & Borja Calvo & Jose A. Lozano, 2018. "Sampling and Learning Mallows and Generalized Mallows Models Under the Cayley Distance," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 1-35, March.

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