Résumé:
This thesis focuses on Bayesian claims reserving methods in non-life insurance, comparing them with classical methods.Insurance companies use these advanced statistical techniques to estimate financial reserves for future claims and avoid risk. Although traditional approaches offer a basis, they frequently cannot address the intricacy and unpredictability of contemporary risk factors. Conversely, Bayesian methods, integrate prior knowledge and new data. This approach offers more accurate predictions and a flexible framework, enhancing insurers’ ability to prepare for future claims and mitigate risks.
Key words: bayesian approache , claims , insurance ,risk , classical approache .
