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New study reveals Bayes estimator's robustness, shaping future decision-making.
The Bayes estimator is robust when certain conditions on the loss function are met. This means that the Bayes estimator is a continuous function of the posterior distribution, as measured by the Kolmogorov distance between posterior distributions.
