There is a rich literature on infinite latent feature models, with much of the focus being on the
Indian Buffet Process (IBP). The current literature focuses on the case in which latent …

We develop a new stochastic process called spatially-dependent Indian buffet processes
(SIBP) for spatially correlated binary matrices and propose general spatial factor models for …

Feature allocation models postulate a sampling distribution whose parameters are derived
from shared features. Bayesian models place a prior distribution on the feature allocation …