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- W3000294554 abstract "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 Bayes factors for three popular rank-based tests: the rank sum test, the signed rank test, and Spearman's ρs ." @default.
- W3000294554 created "2020-01-23" @default.
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- W3000294554 date "2020-01-11" @default.
- W3000294554 modified "2023-10-16" @default.
- W3000294554 title "Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's <i>ρ</i>" @default.
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- W3000294554 doi "https://doi.org/10.1080/02664763.2019.1709053" @default.
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