Prior-driven cluster allocation in bayesian mixture models

This thesis proposes a Centered Partition (CP) process that modifies a base EPPF to favor partitions in a convenient distance neighborhood of the initial clustering of birth defects, and provides characterization of such new class, along with properties and general algorithms for posterior computation.