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Federico Castelletti
Federico Castelletti
Assistant Professor in Statistics, Universitą Cattolica del Sacro Cuore, Milan
Verified email at unicatt.it - Homepage
Title
Cited by
Cited by
Year
Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach
F Castelletti, G Consonni, ML Della Vedova, S Peluso
Bayesian Analysis 13 (4), 1235-1260, 2018
302018
Bayesian learning of multiple directed networks from observational data
F Castelletti, L La Rocca, S Peluso, FC Stingo, G Consonni
Statistics in Medicine 39 (30), 4745-4766, 2020
182020
Bayesian inference of causal effects from observational data in Gaussian graphical models
F Castelletti, G Consonni
Biometrics 77 (1), 136-149, 2021
142021
Discovering causal structures in Bayesian Gaussian directed acyclic graph models
F Castelletti, G Consonni
Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020
132020
Network structure learning under uncertain interventions
F Castelletti, S Peluso
Journal of the American Statistical Association 118 (543), 2117-2128, 2023
122023
Bayesian model selection of Gaussian directed acyclic graph structures
F Castelletti
International Statistical Review 88 (3), 752-775, 2020
122020
Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways
F Castelletti, G Consonni
The Annals of Applied Statistics 13 (4), 2289-2311, 2019
122019
Bayesian graphical modeling for heterogeneous causal effects
F Castelletti, G Consonni
Statistics in Medicine 42 (1), 15-32, 2023
72023
Equivalence class selection of categorical graphical models
F Castelletti, S Peluso
Computational Statistics & Data Analysis 164, 107304, 2021
72021
BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs
F Castelletti, A Mascaro
https://arxiv.org/abs/2201.12003, 2022
52022
Bayesian causal inference in probit graphical models
F Castelletti, G Consonni
Bayesian Analysis 16 (4), 1113-1137, 2021
52021
Structural learning and estimation of joint causal effects among network-dependent variables
F Castelletti, A Mascaro
Statistical Methods & Applications, 2021
52021
Bayesian learning of network structures from interventional experimental data
F Castelletti, S Peluso
Biometrika, 2023
32023
Bayesian sample size determination for causal discovery
F Castelletti, G Consonni
https://arxiv.org/abs/2206.00755, 2022
12022
Supplement to “Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways.”
F Castelletti, G Consonni
DOI, 2019
12019
Bayesian inference of graph-based dependencies from mixed-type data
C Galimberti, S Peluso, F Castelletti
Journal of Multivariate Analysis, 105323, 2024
2024
Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems
F Castelletti, F Niro, M Denti, D Tessera, A Pozzi
IEEE Access, 2024
2024
Learning Bayesian networks: a copula approach for mixed-type data
F Castelletti
Psychometrika, 1-29, 2024
2024
Bayesian sample size determination for causal discovery
F Castelletti, G Consonni
Statistical Science 39 (2), 305-321, 2024
2024
Bayesian causal discovery from unknown general interventions
A Mascaro, F Castelletti
https://arxiv.org/abs/2312.00509, 2023
2023
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