Asymptotically Valid Laplace Variational Inference for Bayesian Nonparametric Clustering of Marked Point Patterns

We introduce Dirichlet process mixtures of marked Poisson point processes, a Bayesian nonparametric model for clustering replicated marked point patterns. The model jointly infers latent cluster structure, the number of clusters, and continuous mark-specific intensity surfaces with uncertainty quant