CASTELLETTI, FEDERICO

CASTELLETTI, FEDERICO  

DIPARTIMENTO DI STATISTICA E METODI QUANTITATIVI  

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Titolo Tipologia Data di pubblicazione Autori File
Bayesian inference of graph-based dependencies from mixed-type data 01 - Articolo su rivista 2024 Galimberti C.Peluso S.Castelletti F.
Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems 01 - Articolo su rivista 2024 Castelletti F. +
Bayesian learning of network structures from interventional experimental data 01 - Articolo su rivista 2024 Castelletti, FPeluso, S
Bayesian Sample Size Determination for Causal Discovery 01 - Articolo su rivista 2024 Castelletti F. +
Joint structure learning and causal effect estimation for categorical graphical models 01 - Articolo su rivista 2024 Castelletti F. +
Learning Bayesian Networks: A Copula Approach for Mixed-Type Data 01 - Articolo su rivista 2024 Castelletti F.
Bayesian graphical modeling for heterogeneous causal effects 01 - Articolo su rivista 2023 Castelletti F. +
Network structure learning under uncertain interventions 01 - Articolo su rivista 2023 Castelletti, FedericoPeluso, Stefano
Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo 01 - Articolo su rivista 2022 Castelletti F. +
Bayesian Causal Inference in Probit Graphical Models 01 - Articolo su rivista 2021 Castelletti F. +
Bayesian inference of causal effects from observational data in Gaussian graphical models 01 - Articolo su rivista 2021 Castelletti F. +
Equivalence class selection of categorical graphical models 01 - Articolo su rivista 2021 Castelletti F.Peluso S.
Structural learning and estimation of joint causal effects among network-dependent variables 01 - Articolo su rivista 2021 Castelletti F.Mascaro A.
Bayesian learning of multiple directed networks from observational data 01 - Articolo su rivista 2020 Castelletti F.Peluso S. +
Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures 01 - Articolo su rivista 2020 Castelletti F.
Discovering causal structures in Bayesian Gaussian directed acyclic graph models 01 - Articolo su rivista 2020 Castelletti F. +
Learning Markov equivalence classes of Directed Acyclic Graphs: An objective bayes approach 01 - Articolo su rivista 2018 Federico CastellettiStefano Peluso +
Learning Markov Equivalence Classes of Gaussian DAGs via Observational and Interventional Data: an Objective Bayes Approach 07 - Tesi di dottorato Bicocca post 2009 2018 CASTELLETTI, FEDERICO