2 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ME2021★ 1 cited
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,…
stat.ME2019★ 2 cited
Bayesian Diagnostics for Chain Event Graphs
Rachel L. Wilkerson, Jim Q. Smith
Chain event graphs have been established as a practical Bayesian graphical tool. While bespoke diagnostics have been developed for Bayesian Networks, they have not yet been defined…
stat.ME2018
Customised Structural Elicitation
Rachel L. Wilkerson, Jim Q. Smith
Established methods for structural elicitation typically rely on code modelling standard graphical models classes, most often Bayesian networks. However, more appropriate models ma…