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A continuous-time stochastic model for the mortality surface of multiple populations
Jevtić, Petar; Regis, Luca - In: Insurance / Mathematics & economics 88 (2019), pp. 181-195
Persistent link: https://www.econbiz.de/10012105562
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Assessing the solvency of insurance portfolios via a continuous-time cohort model
Jevtić, Petar; Regis, Luca - In: Insurance / Mathematics & economics 61 (2015), pp. 36-47
Persistent link: https://www.econbiz.de/10010515932
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Dynamic structural percolation model of loss distribution for cyber risk of small and medium-sized enterprises for tree-based LAN topology
Jevtić, Petar; Lanchier, Nicolas - In: Insurance / Mathematics & economics 91 (2020), pp. 209-223
Persistent link: https://www.econbiz.de/10012242012
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Mortality surface by means of continuous time cohort models
Jevtić, Petar; Luciano, Elisa; Vigna, Elena - In: Insurance / Mathematics & economics 53 (2013) 1, pp. 122-133
Persistent link: https://www.econbiz.de/10009785413
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Mortality surface by means of continuous time cohort models
Jevtić, Petar; Luciano, Elisa; Vigna, Elena - In: Insurance / Mathematics & economics 53 (2013) 1, pp. 122-133
Persistent link: https://www.econbiz.de/10010148974
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Spatial patterns of mortality in the United States : a spatial filtering approach
Cupido, Kyran; Jevtić, Petar; Páez, Antonio - In: Insurance / Mathematics & economics 95 (2020), pp. 28-38
Persistent link: https://www.econbiz.de/10012419224
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On modeling left-truncated loss data using mixtures of distributions
Blostein, Martin; Miljkovic, Tatjana - In: Insurance / Mathematics & economics 85 (2019), pp. 35-46
Persistent link: https://www.econbiz.de/10011990594
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Modeling loss data using mixtures of distributions
Miljkovic, Tatjana; Grün, Bettina - In: Insurance / Mathematics & economics 70 (2016), pp. 387-396
Persistent link: https://www.econbiz.de/10011597334