3 papers
stat.ME2024
Comment on 'Sparse Bayesian Factor Analysis when the Number of Factors is Unknown' by S. Frühwirth-Schnatter, D. Hosszejni, and H. Freitas Lopes
Roberto Casarin, Antonio Peruzzi
The techniques suggested in Frühwirth-Schnatter et al. (2024) concern sparsity and factor selection and have enormous potential beyond standard factor analysis applications. We sho…
stat.CO2024
A Multiple Random Scan Strategy for Latent Space Models
Roberto Casarin, Antonio Peruzzi
Latent Space (LS) network models project the nodes of a network on a -dimensional latent space to achieve dimensionality reduction of the network while preserving its relevant f…
cs.CY2023
Unveiling the Hidden Agenda: Biases in News Reporting and Consumption
Alessandro Galeazzi, Antonio Peruzzi, Emanuele Brugnoli +2
One of the most pressing challenges in the digital media landscape is understanding the impact of biases on the news sources that people rely on for information. Biased news can ha…