PELUSO, STEFANO

PELUSO, STEFANO  

DIPARTIMENTO DI STATISTICA E METODI QUANTITATIVI  

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Titolo Tipologia Data di pubblicazione Autori File
A probabilistic spatio-temporal neural network to forecast COVID-19 counts 01 - Articolo su rivista 2024 Cesarini, MPeluso, S +
Bayesian inference of graph-based dependencies from mixed-type data 01 - Articolo su rivista 2024 Galimberti C.Peluso S.Castelletti F.
Bayesian learning of network structures from interventional experimental data 01 - Articolo su rivista 2024 Castelletti, FPeluso, S
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks 01 - Articolo su rivista 2024 Peluso S. +
Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke 01 - Articolo su rivista 2024 Ravenda F.Peluso S. +
Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project 01 - Articolo su rivista 2023 Peluso S. +
Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies 01 - Articolo su rivista 2023 Denti F.Peluso S. +
Network structure learning under uncertain interventions 01 - Articolo su rivista 2023 Castelletti, FedericoPeluso, Stefano
Gold and bubbles: an impossible binomial? A review of historical and current evidence 01 - Articolo su rivista 2022 Peluso S. +
A Bayesian framework for structural learning of mixed graphical models 03 - Contributo in libro 2021 Galimberti, CPeluso, S +
A Bayesian semiparametric vector Multiplicative Error Model 01 - Articolo su rivista 2021 Donelli N.Peluso S. +
Equivalence class selection of categorical graphical models 01 - Articolo su rivista 2021 Castelletti F.Peluso S.
High-Frequency Lead-Lag Effects and Cross-Asset Linkages: A Multi-Asset Lagged Adjustment Model 01 - Articolo su rivista 2021 Peluso S. +
The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes 01 - Articolo su rivista 2021 Peluso S. +
A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests 01 - Articolo su rivista 2020 Peluso S. +
Bayesian learning of multiple directed networks from observational data 01 - Articolo su rivista 2020 Castelletti F.Peluso S. +
Compatible priors for model selection of high-dimensional Gaussian DAGs 01 - Articolo su rivista 2020 Peluso, Stefano +
Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market 01 - Articolo su rivista 2020 Peluso S. +
Objective methods for graphical structural learning 01 - Articolo su rivista 2020 Petrakis, NikolaosPeluso, Stefano +
Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement 01 - Articolo su rivista 2020 Peluso S. +