Estimation of the spatial heterogeneity in crime incidence across an entire city is an
important step towards reducing crime and increasing our understanding of the physical and …

Bayesian hierarchical models are used to share information between related samples and to
obtain more accurate estimates of sample level parameters, common structure and variation …

There has been great interest recently in applying nonparametric kernel mixtures in a
hierarchical manner to model multiple related data samples jointly. In such settings several …

The construction of dependent random probability measures has become a crucial issue in
Bayesian nonparametric literature during the last decades. Completely random measures …