PELUSO STEFANO

Bartolucci, F., Mira, A., Peluso, S. (2024). Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION [10.1007/s11634-024-00604-7]. Detail

Ravenda, F., Cesarini, M., Peluso, S., Mira, A. (2024). A probabilistic spatio-temporal neural network to forecast COVID-19 counts. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS [10.1007/s41060-024-00525-w]. Detail

Galimberti, C., Peluso, S., Castelletti, F. (2024). Bayesian inference of graph-based dependencies from mixed-type data. JOURNAL OF MULTIVARIATE ANALYSIS, 203(September 2024) [10.1016/j.jmva.2024.105323]. Detail

Castelletti, F., Peluso, S. (2024). Bayesian learning of network structures from interventional experimental data. BIOMETRIKA, 111(1 (March 2024)), 195-214 [10.1093/biomet/asad032]. Detail

Giacobbe, D., Marelli, C., Mora, S., Guastavino, S., Russo, C., Brucci, G., et al. (2023). Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project. ANNALS OF MEDICINE, 55(2) [10.1080/07853890.2023.2285454]. Detail