# Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package

@article{Leonelli2021SensitivityAR, title={Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package}, author={Manuele Leonelli and Ramsiya Ramanathan and Rachel Lynne Wilkerson}, journal={ArXiv}, year={2021}, volume={abs/2107.11785} }

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, that guide their construction via data learning or expert elicitation. However, a constructed Bayesian network needs to be validated before it can be used for practical risk assessment. Here, we illustrate the usage of the bnmonitor R package: the first comprehensive software for the validation of a Bayesian network… Expand

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