Abstract
We propose a simple approach to combining internal and external loss data in the case when internal and external data come from the same distribution. We assume that the internal data is uncensored but the external data includes only losses above a known threshold. This approach is an alternative to the method of Baud et al., when the latter is too computationally expensive due to the large quantity of data available.
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