40 citations · 52 across the 19 of their papers we have counts for
5 papers · 1 filter
Bayesian nonparametric modelling of sequential discoveries
Alessandro Zito, Tommaso Rigon, Otso Ovaskainen +1
We aim at modelling the appearance of distinct tags in a sequence of labelled objects. Common examples of this type of data include words in a corpus or distinct species in a sampl…
Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
Sirio Legramanti, Tommaso Rigon, Daniele Durante
Network data often exhibit block structures characterized by clusters of nodes with similar patterns of edge formation. When such relational data are complemented by additional inf…
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti, Tommaso Rigon, Daniele Durante +1
Reliably learning group structures among nodes in network data is challenging in several applications. We are particularly motivated by studying covert networks that encode relatio…
A generalized Bayes framework for probabilistic clustering
Tommaso Rigon, Amy H. Herring, David B. Dunson
Loss-based clustering methods, such as k-means and its variants, are standard tools for finding groups in data. However, the lack of quantification of uncertainty in the estimated…
Enriched Pitman-Yor processes
Tommaso Rigon, Bruno Scarpa, Sonia Petrone
In Bayesian nonparametrics there exists a rich variety of discrete priors, including the Dirichlet process and its generalizations, which are nowadays well-established tools. Despi…