Equality, diversity and inclusion
Since 2020, I started working on ED&I topics. Read more
Since 2020, I started working on ED&I topics. Read more
Published in Annals of Statistics, 2021
Federico Camerlenghi, Stefano Favaro, Zacharie Naulet, Francesca Panero
We propose a nonparametric estimator of disclosure risk and prove its minimax optimality. It is nice because we close an open problem in the literature (20+ years!) and the optimality proof is kind of crazy (credits to Zachary). See paper here Read more
Published in Electronic Journal of Statistics, 2021
Stefano Favaro, Francesca Panero, Tommaso Rigon
In this paper we propose a Bayesian nonparametric estimator of disclosure risk. We find the posterior distribution of it, which is pretty cool. See paper here Read more
Published in Statistics and Computing, 2022
Marco Scutari, Francesca Panero, Manuel Proissl
In this paper we present a general framework for estimating regression models subject to a user-defined level of fairness. We do that using ridge regression, which is flexible, has already tons of literature and in general simplifies a lot the estimation. See paper here Read more
Published in Published in Advances of Applied Probability, 2023
François Caron, Francesca Panero and Judith Rousseau
This paper investigates properties of the class of graphs based on exchangeable point processes. We talk a lot about sparsity levels, degree distributions (power-law), positive clustering coefficients and central limit theorems. And we show how these properties hold for many many models. See paper here Read more
MSc course, London School of Economics, 2022
MSc course, London School of Economics, 2023
MSc course, London School of Economics, 2024
MSc course, Sapienza University, 2024