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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
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Modeling of risks of severity via the Bayesian networks: case of the risk of error in insurance


Volume 16, Issue 2, June 2016, Pages 309–313

 Modeling of risks of severity via the Bayesian networks: case of the risk of error in insurance

Fatima Zahra EL ARIF1

1 Department of Economics and Management, Research laboratory in Management, Financial systems and Risk management Hassan II University, Ain Chock Faculty, Casablanca, Morocco

Original language: English

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


By looking for a formal method for the management, the use of the Bayesian networks came a natural choice. The Bayesian networks offer a formal frame, but also the ease of learning, and the adaptation to the new data or the requests. In the literature there are numerous examples which present the use of the Bayesian networks in the risk management in diverse sectors such as: financial, medical or legal. In this article we chose the domain of the insurance. Indeed, we propose an example of application of the Bayesian networks at the risk of error in an insurance company.

Author Keywords: Bayesian networks, risk, severity, financial sector, insurance company.


How to Cite this Article


Fatima Zahra EL ARIF, “Modeling of risks of severity via the Bayesian networks: case of the risk of error in insurance,” International Journal of Innovation and Applied Studies, vol. 16, no. 2, pp. 309–313, June 2016.