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Bayesian Analysis of Rank Data With Application to Primate Intelligence Experiments

Author

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  • Johnson V. E.
  • Deaner R. O.
  • van Schaik C. P.

Abstract

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Suggested Citation

  • Johnson V. E. & Deaner R. O. & van Schaik C. P., 2002. "Bayesian Analysis of Rank Data With Application to Primate Intelligence Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 8-17, March.
  • Handle: RePEc:bes:jnlasa:v:97:y:2002:m:march:p:8-17
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    Cited by:

    1. Maryam Aghayerashti & Ehsan Bahrami Samani & Mojtaba Ganjali, 2023. "Bayesian Latent Variable Model of Mixed Correlated Rank and Beta-Binomial Responses with Missing Data for the International Statistical Literacy Project Poster Competition," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 210-250, May.
    2. Andreas Wartel & Patrik Lindenfors & Johan Lind, 2019. "Whatever you want: Inconsistent results are the rule, not the exception, in the study of primate brain evolution," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-15, July.
    3. Can Cui & Susheela P. Singh & Ana‐Maria Staicu & Brian J. Reich, 2021. "Bayesian variable selection for high‐dimensional rank data," Environmetrics, John Wiley & Sons, Ltd., vol. 32(7), November.

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