PELUSO, STEFANO
PELUSO, STEFANO
DIPARTIMENTO DI STATISTICA E METODI QUANTITATIVI
A probabilistic spatio-temporal neural network to forecast COVID-19 counts
2024 Ravenda, F; Cesarini, M; Peluso, S; Mira, A
Bayesian inference of graph-based dependencies from mixed-type data
2024 Galimberti, C; Peluso, S; Castelletti, F
Bayesian learning of network structures from interventional experimental data
2024 Castelletti, F; Peluso, S
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
2024 Bartolucci, F; Mira, A; Peluso, S
Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project
2023 Giacobbe, D; Marelli, C; Mora, S; Guastavino, S; Russo, C; Brucci, G; Limongelli, A; Vena, A; Mikulska, M; Tayefi, M; Peluso, S; Signori, A; Di Biagio, A; Marchese, A; Campi, C; Giacomini, M; Bassetti, M
Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies
2023 Denti, F; Peluso, S; Guindani, M; Mira, A
Network structure learning under uncertain interventions
2023 Castelletti, F; Peluso, S
Gold and bubbles: an impossible binomial? A review of historical and current evidence
2022 Beretta, E; Peluso, S
A Bayesian framework for structural learning of mixed graphical models
2021 Galimberti, C; Castelletti, F; Peluso, S
A Bayesian semiparametric vector Multiplicative Error Model
2021 Donelli, N; Peluso, S; Mira, A
Equivalence class selection of categorical graphical models
2021 Castelletti, F; Peluso, S
High-Frequency Lead-Lag Effects and Cross-Asset Linkages: A Multi-Asset Lagged Adjustment Model
2021 Buccheri, G; Corsi, F; Peluso, S
The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes
2021 Arfe, A; Peluso, S; Muliere, P
A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests
2020 Peluso, S; Mira, A; Rue, H; Tierney, N; Benvenuti, C; Cianella, R; Caputo, M; Auricchio, A
Bayesian learning of multiple directed networks from observational data
2020 Castelletti, F; La Rocca, L; Peluso, S; Stingo, F; Consonni, G
Compatible priors for model selection of high-dimensional Gaussian DAGs
2020 Peluso, S; Consonni, G
Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market
2020 Bianchi, F; Bartolucci, F; Peluso, S; Mira, A
Objective methods for graphical structural learning
2020 Petrakis, N; Peluso, S; Fouskakis, D; Consonni, G
Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement
2020 Auricchio, A; Peluso, S; Caputo, M; Reinhold, J; Benvenuti, C; Burkart, R; Cianella, R; Klersy, C; Baldi, E; Mira, A
Conditionally Gaussian random sequences for an integrated variance estimator with correlation between noise and returns
2019 Peluso, S; Mira, A; Muliere, P