1 citations · 1 across the 7 of their papers we have counts for
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Bayesian nonparametric modeling of multivariate count data with an unknown number of traits
Lorenzo Ghilotti, Federico Camerlenghi, Tommaso Rigon +1
Feature and trait allocation models are fundamental objects in Bayesian nonparametrics and play a prominent role in several applications. Existing approaches, however, typically as…
Hierarchical shot-noise Cox process mixtures for clustering across groups
Alessandro Carminati, Mario Beraha, Federico Camerlenghi +1
Clustering observations across partially exchangeable groups of data is a routine task in Bayesian nonparametrics. Previously proposed models allow for clustering across groups by…
Repulsive Mixture Model with Projection Determinantal Point Process
Ziyi Song, Federico Camerlenghi, Weining Shen +2
In many scientific domains, clustering aims to reveal interpretable latent structure that reflects relevant subpopulations or processes. Widely used Bayesian mixture models for mod…
Bayesian analysis of product feature allocation models
Lorenzo Ghilotti, Federico Camerlenghi, Tommaso Rigon
Feature allocation models are an extension of Bayesian nonparametric clustering models, where individuals can share multiple features. We study a broad class of models whose probab…