PELUSO STEFANO

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

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

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

Auricchio, A., Scquizzato, T., Ravenda, F., Cresta, R., Peluso, S., Caputo, M., et al. (2024). Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke. RESUSCITATION PLUS, 20(December 2024) [10.1016/j.resplu.2024.100810]. Detail