3 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Palm distributions of superposed point processes for statistical inference
Mario Beraha, Federico Camerlenghi, Lorenzo Ghilotti
Palm distributions play a central role in the study of point processes and their associated summary statistics. In this paper, we characterize the Palm distributions of the superpo…
Extended feature allocation models
Mario Beraha, Federico Camerlenghi, Lorenzo Ghilotti
Feature allocation models are Bayesian nonparametric tools tailored to data in which each observation can simultaneously exhibit multiple characteristics, or features. A fundamenta…
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…
Bayesian clustering of high-dimensional data via latent repulsive mixtures
Lorenzo Ghilotti, Mario Beraha, Alessandra Guglielmi
Model-based clustering of moderate or large dimensional data is notoriously difficult. We propose a model for simultaneous dimensionality reduction and clustering by assuming a mix…