A Bayesian model of voting in juries (Q700076)

Individual votes in group decisions are here modeled on a framework of inference on parameters determining the distribution of received signals. It is proven that, as the size of the jury increase, the probability of a mistaken judgment goes to zero unless unanimity is needed and the likelihood ratio is bounded. Conditions in terms of the ratio between hazard rates are also set.