You only derive once (YODO): Automatic differentiation for efficient sensitivity analysis in Bayesian networks.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to assess the country-level risk associated with humanitarian crises and disasters. The Bayesian network is learned as in the referenced paper. The vertices are:
(low, medium, high);
(low, medium, high);
(low, medium, high);
(low, medium, high);
(low, medium, high);
(low, medium, high);
(low, medium, high);
Projected conflict risk (low, medium, high);
Current highly violent conflict intensity (low, medium, high);
Development and deprivation (low, medium, high);
Economic dependency (low, medium, high);
Unprotected people (low, medium, high);
Health conditions (low, medium, high);
(low, medium, high);
(low, medium, high);
(low, medium, high);
Other vulnerable groups (low, medium, high);
(low, medium, high);
(low, medium, high);
Physical infrastructure (low, medium, high);
(low, medium, high);
Ballester-Ripoll, R., & Leonelli, M. (2022, September). You only derive once (YODO): automatic differentiation for efficient sensitivity analysis in Bayesian networks. In International Conference on Probabilistic Graphical Models (pp. 169-180). PMLR.