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06/28/2023
Joint structure learning and causal effect estimation for categorical graphical models
We consider a a collection of categorical random variables. Of special i...
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06/01/2022
Bayesian sample size determination for causal discovery
Graphical models based on Directed Acyclic Graphs (DAGs) are widely used...
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01/28/2022
BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs
Directed Acyclic Graphs (DAGs) provide a powerful framework to model cau...
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06/06/2021
Bayesian graphical modelling for heterogeneous causal effects
Our motivation stems from current medical research aiming at personalize...
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02/12/2021
Equivalence class selection of categorical graphical models
Learning the structure of dependence relations between variables is a pe...
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09/10/2020