Bayesian estimation of Kendall’s τ using a latent normal approach

Publication date: Available online 15 October 2018Source: Statistics & Probability LettersAuthor(s): Johnny van Doorn, Alexander Ly, Maarten Marsman, Eric-Jan WagenmakersAbstractThe 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 τ, improving on a recent Bayesian solution based on its asymptotic properties.

Source: Statistics and Probability Letters - October 16, 2018 Category: Statistics Source Type: research