Peluso, Stefano

Peluso, Stefano  

MILANO - Dipartimento di Scienze statistiche  

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Data di pubblicazione Titolo Autore(i) File
1-gen-2024 A probabilistic spatio-temporal neural network to forecast COVID-19 counts Ravenda, F.; Cesarini, M.; Peluso, Stefano; Mira, A.
1-gen-2024 Bayesian inference of graph-based dependencies from mixed-type data Galimberti, Chiara; Peluso, Stefano; Castelletti, Federico
1-gen-2024 Bayesian learning of network structures from interventional experimental data Castelletti, Federico; Peluso, Stefano
1-gen-2024 Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks Bartolucci, F.; Mira, A.; Peluso, Stefano
1-gen-2023 Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies Denti, Francesco; Peluso, Stefano; Guindani, Michele; Mira, Antonietta
1-gen-2022 Gold and bubbles: an impossible binomial? A review of historical and current evidence Beretta, E.; Peluso, Stefano
1-gen-2021 A Bayesian semiparametric vector Multiplicative Error Model Donelli, N.; Peluso, Stefano; Mira, A.
1-gen-2021 Equivalence class selection of categorical graphical models Castelletti, Federico; Peluso, Stefano
1-gen-2020 A Bayesian spatiotemporal statistical analysis of out-of-hospital cardiac arrests Peluso, Stefano; Mira, A.; Rue, H.; Tierney, N. J.; Benvenuti, C.; Cianella, R.; Caputo, M. L.; Auricchio, A.
1-gen-2020 Bayesian learning of multiple directed networks from observational data Castelletti, Federico; La Rocca, L.; Peluso, Stefano; Stingo, F. C.; Consonni, Guido
1-gen-2020 Compatible priors for model selection of high-dimensional Gaussian DAGs Peluso, Stefano; Consonni, Guido
1-gen-2020 Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market Bianchi, F.; Bartolucci, F.; Peluso, Stefano; Mira, A.
1-gen-2020 Objective methods for graphical structural learning Petrakis, Nikolaos; Peluso, Stefano; Fouskakis, Dimitris; Consonni, Guido
1-gen-2020 The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes Arfe, A.; Peluso, Stefano; Muliere, P.
1-gen-2019 Book of Short Papers SIS2019 Arbia, Giuseppe; Peluso, Stefano; Pini, Alessia; Rivellini, Giulia
1-gen-2019 Conditionally Gaussian Random Sequences for an Integrated Variance Estimator with Correlation between Noise and Returns Peluso, Stefano; Mira, Antonietta; Muliere, Pietro
1-gen-2019 Evaluating health facility access using Bayesian spatial models and location analysis methods Tierney, Nicholas; Mira, Antonietta; Reinhold, Jost; Arbia, Giuseppe; Clifford, Samuel; Auricchio, Angelo; Moccetti, Tiziano; Peluso, Stefano; Kerrie, Mengersen
1-gen-2019 High-Frequency Lead-Lag Effects and Cross-Asset Linkages: A Multi-Asset Lagged Adjustment Model Buccheri, G.; Corsi, F.; Peluso, Stefano
1-gen-2019 Parametric and nonparametric Bayesian methods in finance Peluso, Stefano
1-gen-2019 Reinforced urns and the subdistribution beta-Stacy process prior for competing risks analysis Arfe, A.; Peluso, Stefano; Muliere, P.