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Author

Federico Castelletti

Observed names: Castelletti, Federico, F Castelletti
ORCID: 0000-0001-7911-2942
Observed ORCID: 0000-0001-7911-2942
OpenAlex ID: A5007374635
Learning Markov Equivalence Classes of Directed Acyclic Graphs: An Objective Bayes Approach
2018 · Federico Castelletti, Guido Consonni, et al. · Bayesian Analysis · 28
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Discovering Causal Structures in Bayesian Gaussian Directed Acyclic Graph Models
2020 · Federico Castelletti, Guido Consonni · Journal of the Royal Statistical Society Series A (Statistics in Society) · 19
Bayesian learning of multiple directed networks from observational data
2020 · Federico Castelletti, Luca La Rocca, et al. · Statistics in Medicine · 18
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Bayesian inference of causal effects from observational data in Gaussian graphical models
2020 · Federico Castelletti, Guido Consonni · Biometrics · 17
Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures
2020 · Federico Castelletti · International Statistical Review · 13
Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways
2019 · Federico Castelletti, Guido Consonni · The Annals of Applied Statistics · 11
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Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems
2024 · Federico Castelletti, Fabrizio Niro, et al. · IEEE Access · 9
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Equivalence class selection of categorical graphical models
2021 · Federico Castelletti, Stefano Peluso · Computational Statistics & Data Analysis · 8
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Learning Bayesian Networks: A Copula Approach for Mixed-Type Data
2024 · Federico Castelletti · Psychometrika · 7
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Network Structure Learning Under Uncertain Interventions
2022 · Federico Castelletti, Stefano Peluso · Journal of the American Statistical Association · 7
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Structural learning and estimation of joint causal effects among network-dependent variables
2021 · Federico Castelletti, Alessandro Mascaro · Statistical Methods & Applications · 7
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Joint structure learning and causal effect estimation for categorical graphical models
2024 · Federico Castelletti, Guido Consonni, et al. · Biometrics · 6
Bayesian graphical modeling for heterogeneous causal effects
2022 · Federico Castelletti, Guido Consonni · Statistics in Medicine · 6
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BCDAG: Bayesian Structure and Causal Learning of Gaussian Directed Graphs
2022 · Federico Castelletti, Alessandro Mascaro · 5
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Bayesian Causal Inference in Probit Graphical Models
2021 · Federico Castelletti, Guido Consonni · Bayesian Analysis · 5
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Bayesian learning of network structures from interventional experimental data
2023 · F Castelletti, S Peluso · Biometrika · 4
Bayesian inference of graph-based dependencies from mixed-type data
2024 · Chiara Galimberti, Stefano Peluso, et al. · Journal of Multivariate Analysis · 2
Bayesian Sample Size Determination for Causal Discovery
2024 · Federico Castelletti, Guido Consonni · Statistical Science · 1
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BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs
2022 · Castelletti, Federico, Mascaro, Alessandro · arXiv (Cornell University) · 1
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Graphical model-based clustering of categorical data
2026 · Ferrini, Laura, Castelletti, Federico · arXiv (Cornell University)
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BCDAG : An R Package for Bayesian Structure and Causal Learning of Gaussian DAGs
2026 · Federico Castelletti, Alessandro Mascaro · Journal of Statistical Software
Bayesian nonparametric mixtures of categorical directed graphs for personalized causal inference
2026 · Federico Castelletti, Laura Ferrini · Biostatistics
Bayesian Graphical Models for Clustering Categorical Data
2025 · Laura Ferrini, Federico Castelletti · Springer eBooks
Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
2024 · Castelletti, Federico, Ferrini, Laura · arXiv (Cornell University)
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Bayesian causal discovery from unknown general interventions
2023 · Mascaro, Alessandro, Castelletti, Federico · arXiv (Cornell University)
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Works count: 32
Citation count: 174
H-index: 8
I10-index: 6
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