Connecting actuarial judgment to probabilistic learning techniques with graph theory
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References listed on IDEAS
- Garrido, J. & Genest, C. & Schulz, J., 2016. "Generalized linear models for dependent frequency and severity of insurance claims," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 205-215.
- Parodi, Pietro, 2012. "Computational intelligence with applications to general insurance: a review," Annals of Actuarial Science, Cambridge University Press, vol. 6(2), pages 344-380, September.
- Parodi, Pietro, 2012. "Computational intelligence with applications to general insurance: a review," Annals of Actuarial Science, Cambridge University Press, vol. 6(2), pages 307-343, September.
- Scutari, Marco, 2010. "Learning Bayesian Networks with the bnlearn R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(i03).
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- Denuit, Michel & Robert, Christian Y., 2020. "Conditional mean risk sharing for dependent risks using graphical models," LIDAM Discussion Papers ISBA 2020029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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