Research interests: nonparametric Bayes and empirical Bayes,
asymptotic statistics, statistical machine learning, data confidentiality
and fairness, mathematical population biology
Papers:
1. Main
publications
Optimal disclosure risk assessment,
with F. Camerlenghi, Z. Naulet and F. Panero
Reinforced urn processes indexed by the
vertices of a recombinant binary tree, with D. Ait Aoudia and P. Muliere
Submitted, 2010
A Wilks' theorem for grouped data, with
E. Dolera Submitted, 2019
Consistent estimation of rare masses in
feature sampling, with F. Ayed, M. Battiston and F. Camerlenghi
Submitted,
2019
Consistent and rate optimal estimation
of the missing mass, with F. Ayed, M. Battiston and F. Camerlenghi Submitted, 2019
More for less: predicting and
maximizing genetic variant discovery via Bayesian nonparametrics, with
T. Broderick, F. Camerlenghi and L. Masoero Submitted, 2020
Upscaling human activity data: an
ecological perspective, with M. Formentin, A. Maritan, S. Stivanello, S.
Suweis and A. Tovo Submitted, 2020
Perfect sampling for posterior
hierarchical Pitman-Yor processes, with S. Bacallado and L. Trippa Submitted, 2020
Doubly infinite neural networks: a
diffusion process approach, with S. Peluchetti Submitted, 2020