An Extension of Interval Probabilities using Modal Interval Theory and its Application to Non-life Insurance
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DOI: 10.1007/s11009-025-10164-8
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- Albrecher, Hansjörg & Constantinescu, Corina & Loisel, Stephane, 2011.
"Explicit ruin formulas for models with dependence among risks,"
Insurance: Mathematics and Economics, Elsevier, vol. 48(2), pages 265-270, March.
- Hansjoerg Albrecher & Corina Constantinescu & Stéphane Loisel, 2011. "Explicit ruin formulas for models with dependence among risks," Post-Print hal-00540621, HAL.
- Loisel, Stéphane & Mazza, Christian & Rullière, Didier, 2008.
"Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin,"
Insurance: Mathematics and Economics, Elsevier, vol. 42(2), pages 746-762, April.
- Stéphane Loisel & Christian Mazza & Didier Rullière, 2008. "Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin," Post-Print hal-00168714, HAL.
- Yan Wang, 2010. "Imprecise probabilities based on generalised intervals for system reliability assessment," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 4(4), pages 319-342.
- Shapiro, Arnold F., 2013. "Modeling future lifetime as a fuzzy random variable," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 864-870.
- Niemiec, Małgorzata, 2007. "Bonus-malus Systems as Markov Set-chains," ASTIN Bulletin, Cambridge University Press, vol. 37(1), pages 53-65, May.
- Popova, Elmira & Wu, Hsien-Chung, 1999. "Renewal reward processes with fuzzy rewards and their applications to T-age replacement policies," European Journal of Operational Research, Elsevier, vol. 117(3), pages 606-617, September.
- Pablo J. Villacorta & Laura González-Vila Puchades & Jorge de Andrés-Sánchez, 2021. "Fuzzy Markovian Bonus-Malus Systems in Non-Life Insurance," Mathematics, MDPI, vol. 9(4), pages 1-23, February.
- Huang, Tao & Zhao, Ruiqing & Tang, Wansheng, 2009. "Risk model with fuzzy random individual claim amount," European Journal of Operational Research, Elsevier, vol. 192(3), pages 879-890, February.
- 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.
- Castañer, Anna & Claramunt, M. Mercè & Lefèvre, Claude & Loisel, Stéphane, 2019.
"Partially Schur-constant models,"
Journal of Multivariate Analysis, Elsevier, vol. 172(C), pages 47-58.
- Anna Castañer & M. Mercè Claramunt & Claude Lefèvre & Stéphane Loisel, 2019. "Partially Schur-constant models," Post-Print hal-01998057, HAL.
- Shapiro, Arnold F., 2004. "Fuzzy logic in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 399-424, October.
- Cossette, Hélène & Marceau, Etienne & Mtalai, Itre, 2019. "Collective risk models with dependence," Insurance: Mathematics and Economics, Elsevier, vol. 87(C), pages 153-168.
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Keywords
Modal intervals; Interval probability; Aggregated cost; Convolution;All these keywords.
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