1 citations · 1 across the 1 of their papers we have counts for
6 papers
Extended feature allocation models
Mario Beraha, Federico Camerlenghi, Lorenzo Ghilotti
Feature allocation models are Bayesian nonparametric tools tailored to data in which each observation can simultaneously exhibit multiple characteristics, or features. A fundamenta…
Palm distributions of superposed point processes for statistical inference
Mario Beraha, Federico Camerlenghi, Lorenzo Ghilotti
Palm distributions play a central role in the study of point processes and their associated summary statistics. In this paper, we characterize the Palm distributions of the superpo…
Repulsive Mixture Model with Projection Determinantal Point Process
Ziyi Song, Federico Camerlenghi, Weining Shen +2
In many scientific domains, clustering aims to reveal interpretable latent structure that reflects relevant subpopulations or processes. Widely used Bayesian mixture models for mod…
On the Palm distribution of superposition of point processes
Mario Beraha, Federico Camerlenghi
Palm distributions are critical in the study of point processes. In the present paper we focus on a point process defined as the superposition, i.e., sum, of two independent p…
Bayesian Mixtures Models with Repulsive and Attractive Atoms
Mario Beraha, Raffaele Argiento, Federico Camerlenghi +1
The study of almost surely discrete random probability measures is an active line of research in Bayesian nonparametrics. The idea of assuming interaction across the atoms of the r…
A smoothed-Bayesian approach to frequency recovery from sketched data
Mario Beraha, Stefano Favaro, Matteo Sesia
We provide a novel statistical perspective on a classical problem at the intersection of computer science and information theory: recovering the empirical frequency of a symbol in…