Hypothesis testClassical statistics

Bayesian Wilcoxon Signed-Rank Test

The Bayesian Wilcoxon signed-rank test is a Bayesian nonparametric method for comparing two paired or related samples. Rather than returning a single p-value, it produces posterior probabilities that one condition is better, practically equivalent, or worse than the other, enabling richer and more interpretable inference for paired continuous or ordinal data without assuming normality.

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Sources

  1. Benavoli, A., Corani, G., & Mangili, F. (2014). Should we really use post-hoc tests based on mean-ranks? Journal of Machine Learning Research, 17(5), 1–10. link
  2. Benavoli, A., Corani, G., Demsar, J., & Zaffalon, M. (2017). Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. Journal of Machine Learning Research, 18(77), 1–36. link

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Referenced by

ScholarGateBayesian Wilcoxon signed-rank test (Bayesian Wilcoxon Signed-Rank Test). Retrieved 2026-06-04 from https://scholargate.app/en/statistics/bayesian-wilcoxon-signed-rank-test