Prior specification. To specify a prior distribution over d~fd jk g, we assume that each indicator acts a priori as an independent Bernoulli random variable (RV) with small success probability x. The sum of independent Bernoulli RVs yields a Binomial distribution over their sum W~X jvk d jk . In the limit that x%K(K{1)=2, this prior conveniently collapses to