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Bayesian Estimation of Kendall's tau Using a Latent Normal Approach
Published 6 Mar 2017 in stat.ME | (1703.01805v2)
Abstract: The rank-based association between two variables can be modeled by introducing a latent normal level to ordinal data. We demonstrate how this approach yields Bayesian inference for Kendall's rank correlation coefficient, improving on a recent Bayesian solution from asymptotic properties of the test statistic.
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