The paid-incurred chain (PIC) reserving method is a claims reserving method that allows to combine claims payments and incurred losses information in a mathematical consistent way. The main criticism on the original Bayesian lognormal PIC model presented in Merz-Wüthrich [5] is that it does not respect dependence properties within the observed data. In the present paper, we extend the original Bayesian log-normal PIC model so that dependence is modeled in an appropriate way.

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Three different methods for MP detection showed good correlations of results, albeit the basis for MP analysis was different. Even if FCM is considered the "gold standard" of MP detection there are still technical limitations concerning detection of small MP. The procoagulant STA-Procoag-PPL assay and the prothrombinase ELISA assay could be useful additional MP tests. Regarding the interpretation of quantitative results of MPs, preanalytical conditions must be optimized and standardized.

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No abstract

The paid-incurred chain (PIC) reserving method is a claims reserving method that allows to combine claims payments and incurred losses information in a mathematical consistent way. The main criticism on the original Bayesian lognormal PIC model presented in Merz-Wüthrich [5] is that it does not respect dependence properties within the observed data. In the present paper, we extend the original Bayesian log-normal PIC model so that dependence is modeled in an appropriate way.

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No abstract