9 citations · 17 across the 4 of their papers we have counts for
5 papers
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
Blake Hansen, Alejandra Avalos-Pacheco, Massimiliano Russo +1
Factors models are routinely used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov Chain Monte Ca…
Dynamic modeling of the Italians' attitude towards Covid-19
Emanuele Aliverti, Massimilano Russo
We analyze repeated cross-sectional survey data collected by the Institute of Global Health Innovation, to characterize the perception and behavior of the Italian population during…
Stratified stochastic variational inference for high-dimensional network factor model
Emanuele Aliverti, Massimiliano Russo
There has been considerable recent interest in Bayesian modeling of high-dimensional networks via latent space approaches. When the number of nodes increases, estimation based on M…
Multivariate mixed membership modeling: Inferring domain-specific risk profiles
Massimiliano Russo, Burton H. Singer, David B. Dunson
Characterizing the shared memberships of individuals in a classification scheme poses severe interpretability issues, even when using a moderate number of classes (say 4). Mixed me…
Bayesian inference on group differences in multivariate categorical data
Massimiliano Russo, Daniele Durante, Bruno Scarpa
Multivariate categorical data are common in many fields. We are motivated by election polls studies assessing evidence of changes in voters opinions with their candidates preferenc…