activity
20142018
most citedSparse graphs using exchangeable random measures

178 citations · 178 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2018

Hierarchical Species Sampling Models

Federico Bassetti, Roberto Casarin, Luca Rossini

This paper introduces a general class of hierarchical nonparametric prior distributions. The random probability measures are constructed by a hierarchy of generalized species sampl…

stat.ME2017

Discussion on "Random-projection ensemble classification" by T. Cannings and R. Samworth

Roberto Casarin, Lorenzo Frattarolo, Luca Rossini

Discussion on "Random-projection ensemble classification" by T. Cannings and R. Samworth. We believe that the proposed approach can find many applications in economics such as cred…

stat.ME2017

Discussion on "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox

Roberto Casarin, Matteo Iacopini, Luca Rossini

Discussion on "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox. In this discussion we contribute to the analysis of the GGP model as compared to the Erd…

econ.GN2016

Bayesian nonparametric sparse VAR models

Monica Billio, Roberto Casarin, Luca Rossini

High dimensional vector autoregressive (VAR) models require a large number of parameters to be estimated and may suffer of inferential problems. We propose a new Bayesian nonparame…

stat.ME2014★ 178 cited

Sparse graphs using exchangeable random measures

François Caron, Emily B. Fox

Statistical network modeling has focused on representing the graph as a discrete structure, namely the adjacency matrix, and considering the exchangeability of this array. In such…