  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.
