10 citations · 58 across the 46 of their papers we have counts for
4 papers · 1 filter
Global sensitivity analysis in probabilistic graphical models
Rafael Ballester-Ripoll, Manuele Leonelli
We show how to apply Sobol's method of global sensitivity analysis to measure the influence exerted by a set of nodes' evidence on a quantity of interest expressed by a Bayesian ne…
Staged trees and asymmetry-labeled DAGs
Gherardo Varando, Federico Carli, Manuele Leonelli
Bayesian networks are a widely-used class of probabilistic graphical models capable of representing symmetric conditional independence between variables of interest using the topol…
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package
Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson
Bayesian networks are a class of models that are widely used for risk assessment of complex operational systems. There are now multiple approaches, as well as implemented software,…
Context-Specific Causal Discovery for Categorical Data Using Staged Trees
Manuele Leonelli, Gherardo Varando
Causal discovery algorithms aim at untangling complex causal relationships from data. Here, we study causal discovery and inference methods based on staged tree models, which can r…