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publications

Feature Selection via Mutual Information: New Theoretical Insight

Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni and Marcello Restelli

Published in International Joint Conference on Neural Networks, 2019

In this paper, we tackle the problem of feature selection for both classification and regression problems. We find a new bound for the classification and regression error achieved by the ideal classifier working on different subsets of features.

A Bayesian model for network flow data: an application to BikeMi trips

Giulia Bissoli, Celeste Principi, Gian Matteo Rinaldi, Mario Beraha and Alessandra Guglielmi

Published in Book of Short Papers Sis 2019, 2019

In this work, we propose a Bayesian model for the analysis of flow counts on a network for an application to a bike sharing platform (BikeMi) in Milano.

Invited discussion on “Latent Nested Nonparametric Priors” by F. Camerlenghi, D. B. Dunson, A. Lijoi, I. Prünster and A. Rodríguez

Mario Beraha and Alessandra Guglielmi

Published in Bayesian Analysis, 2019

In this work, we comment on the article by Camerlenghi and co authors, proposing an approximation to their latent nested process, that we obtain by truncating a priori the stick-breaking construction of a nested Dirichlet Process.