Nonparametrics and Graphical Models : Discussion of Ickstadt et al

Bayesian nonparametrics often has a strong combinatorial flavor, where inference is made over explicit " allocation " variables that associate data points to parameters. Taking this point of view I consider graphical models that are nonparametric in the sense of containing infinite numbers of nodes, and describe some specific allocation schemes for associating data points to nodes in such models.