162 citations · 488 across the 53 of their papers we have counts for
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A compound Poisson perspective of Ewens-Pitman sampling model
Emanuele Dolera, Stefano Favaro
The Ewens-Pitman sampling model (EP-SM) is a distribution for random partitions of the set , with , which is index by real parameters and su…
On Johnson's "sufficientness" postulates for features-sampling models
Federico Camerlenghi, Stefano Favaro
In the 1920's, the English philosopher W.E. Johnson introduced a characterization of the symmetric Dirichlet prior distribution in terms of its predictive distribution. This is typ…
The power of private likelihood-ratio tests for goodness-of-fit in frequency tables
Emanuele Dolera, Stefano Favaro
Privacy-protecting data analysis investigates statistical methods under privacy constraints. This is a rising challenge in modern statistics, as the achievement of confidentiality…
Deep Stable neural networks: large-width asymptotics and convergence rates
Stefano Favaro, Sandra Fortini, Stefano Peluchetti
In modern deep learning, there is a recent and growing literature on the interplay between large-width asymptotic properties of deep Gaussian neural networks (NNs), i.e. deep NNs w…
Scaled process priors for Bayesian nonparametric estimation of the unseen genetic variation
Federico Camerlenghi, Stefano Favaro, Lorenzo Masoero +1
There is a growing interest in the estimation of the number of unseen features, mostly driven by biological applications. A recent work brought out a peculiar property of the popul…
Near-optimal estimation of the unseen under regularly varying tail populations
Stefano Favaro, Zacharie Naulet
Given samples from a population of individuals belonging to different species, what is the number of hitherto unseen species that would be observed if new samples were…