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Expectation maximization algorithm 1 General insurance 1 Individual claim features 1 Loss reserving 1 Mixture distribution 1 Randomly truncated data 1
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Free 1
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English 1
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Bücher, Axel 1 Rosenstock, Alexander 1
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European Actuarial Journal 1
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EconStor 1
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Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks
Bücher, Axel; Rosenstock, Alexander - In: European Actuarial Journal 13 (2022) 1, pp. 55-90
Predicting the number of outstanding claims (IBNR) is a central problem in actuarial loss reserving. Classical approaches like the Chain Ladder method rely on aggregating the available data in form of loss triangles, thereby wasting potentially useful additional claims information. A new...
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