We introduce a generalized Bayesian credible set that can achieve any preassigned credible level, addressing a limitation of the current credible sets. This is achieved by exploiting a connection between the highest posterior density set and the Neyman-Pearson lemma.
Keywords: Bayesian classification; Highest posterior density set; Neyman-Pearson lemma; Pattern recognition.