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The Minimum Risk Equivariant (MRE), estimator is a widely used estimator which has several well-known theoretical and practical properties. It is well known that for the square error and absolute error loss functions, the MRE estimator is a generalized Bayes estimator. This article investigates the potential Bayesianity (or generalized Bayesianity) of the MRE estimator under a general convex and invariant loss function, (⋅), for estimating the location and scale parameters of an unimodaldoi:10.1080/23311835.2015.1023670 fatcat:bmpmtslc2nbxjp5w4w7rm4qttu