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