Editorial on the Special Issue on Insurance: complexity, risks and its connection with social sciences
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s11135-023-01705-9.pdf
Reference47 articles.
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3. Azzone, M., Barucci, E., Moncayo, G.G., Marazzina, D.: A machine learning model for lapse prediction in life insurance contracts. Expert Syst. Appl. 191, 116261 (2022). https://doi.org/10.1016/j.eswa.2021.116261
4. Biancalana, D., Baione, F.: A quantitative analysis on the effect of COVID-19 in a private health insurance plan expenditure. Qual. Quan. (2022)
5. Cerqueti, R., Giovanna, F., Antonio, I.: Measuring network resilience through connection patterns. Reliab. Eng. Syst. Saf. 188, 320–329 (2019). https://doi.org/10.1016/j.ress.2019.03.030
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