Centered Partition Processes: Informative Priors for Clustering (with Discussion)
Centered Partition Processes: Informative Priors for Clustering (with Discussion)
There is a very rich literature proposing Bayesian approaches for clustering starting with a prior probability distribution on partitions. Most approaches assume exchangeability, leading to simple representations in terms of Exchangeable Partition Probability Functions (EPPF). Gibbs-type priors encompass a broad class of such cases, including Dirichlet and Pitman-Yor processes. Even …