Castelletti, Federico

Castelletti, Federico  

MILANO - Dipartimento di Scienze statistiche  

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Data di pubblicazione Titolo Autore(i) File
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 Bayesian Sample Size Determination for Causal Discovery Castelletti, Federico; Consonni, Guido
1-gen-2024 Joint structure learning and causal effect estimation for categorical graphical models Castelletti, Federico; Consonni, Guido; Della Vedova, Marco Luigi
1-gen-2024 Learning Bayesian Networks: A Copula Approach for Mixed-Type Data Castelletti, Federico
1-gen-2023 Bayesian graphical modeling for heterogeneous causal effects Castelletti, Federico; Consonni, Guido
1-gen-2022 Network Structure Learning Under Uncertain Interventions Castelletti, Federico; Peluso, Stefano
1-gen-2021 Bayesian Causal Inference in Probit Graphical Models Castelletti, Federico; Consonni, Guido
1-gen-2021 Bayesian inference of causal effects from observational data in Gaussian graphical models Castelletti, Federico; Consonni, Guido
1-gen-2021 Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo Castelletti, Federico; Consonni, Guido; La Rocca, Luca
1-gen-2021 Equivalence class selection of categorical graphical models Castelletti, Federico; Peluso, Stefano
1-gen-2021 Structural learning and estimation of joint causal effects among network-dependent variables Castelletti, Federico; Mascaro, Alessandro
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 Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures Castelletti, Federico
1-gen-2020 Discovering causal structures in Bayesian Gaussian directed acyclic graph models Castelletti, Federico; Consonni, Guido
1-gen-2019 Analysing international migration flows: a Bayesian network approach Castelletti, Federico; Furfaro, Emanuela
1-gen-2019 Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways Castelletti, Federico; Consonni, Guido
1-gen-2018 Bayesian Cluster Analysis: Point Estimation and Credible Balls. Contributed discussion Castelletti, Federico; Peluso, Stefano
1-gen-2018 Learning Markov Equivalence Classes of Directed Acyclic Graphs: an Objective Bayes Approach Castelletti, Federico; Consonni, Guido; Della Vedova, Marco Luigi; Peluso, Stefano