• Corpus ID: 88522565

# Bayesian Latent-Normal Inference for the Rank Sum Test, the Signed Rank Test, and Spearman's $\rho$

@article{Doorn2017BayesianLI,
title={Bayesian Latent-Normal Inference for the Rank Sum Test, the Signed Rank Test, and Spearman's \$\rho\$},
author={Johnny van Doorn and Alexander Ly and Maarten Marsman and Eric-Jan Wagenmakers},
journal={arXiv: Methodology},
year={2017}
}
• Published 19 December 2017
• Computer Science
• arXiv: Methodology
Bayesian inference for rank-order problems is frustrated by the absence of an explicit likelihood function. This hurdle can be overcome by assuming a latent normal representation that is consistent with the ordinal information in the data: the observed ranks are conceptualized as an impoverished reflection of an underlying continuous scale, and inference concerns the parameters that govern the latent representation. We apply this generic data-augmentation method to obtain Bayesian counterparts…
12 Citations

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