29th APS Annual Convention · 2017
Boston, MA · May 2017
Poster Session · Methodology
A Monte-Carlo simulation study examined different methods to treat outliers in Bayesian analysis. Robust estimation using a t-distribution and rank-based inverse normal transformation (RIN) showed superior performance over no-treatment, outlier deletion by Cook’s D, and Box-Cox transformation.
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