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Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks

Axel Bücher1, Alexander Rosenstock1,2

  • 1Mathematisches Institut, Heinrich-Heine-Universität Düsseldorf, Universitätsstraße 1, 40225 Düsseldorf, Germany.

European Actuarial Journal
|May 18, 2022
PubMed

Keywords:
Expectation maximization algorithmGeneral insuranceIndividual claim featuresLoss reservingMixture distributionRandomly truncated data

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