Bayesian Estimation of Kendall's tau Using a Latent Normal Approach
arXiv:1703.01805
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.
13 pages, 2 figures