Statistics Seminar

The Lorenz partition distribution offers a flexible Bayesian clustering prior that lets analysts specify beliefs about both the number of clusters and their relative sizes. Using Lorenz curves, it captures patterns of cluster-size imbalance beyond the Gini coefficient. The talk presents its construction, theoretical guarantees, and examples showing how incorporating size information can reduce over-splitting and improve clustering.