Study Results from Swiss Federal Institute of Technology in the Area of Actuarial Science Reported (A Neural Network Boosted Double Overdispersed Poisson Claims Reserving Model)

2020 SEP 28 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Research findings on Science - Actuarial Science are discussed in a new report. According to news reporting from Zurich, Switzerland, by NewsRx editors, the research stated, “We present an actuarial claims reserving technique that takes into account both claim counts and claim amounts. Separate (overdispersed) Poisson models for the claim counts and the claim amounts are combined by a joint embedding into a neural network architecture.”

The news correspondents obtained a quote from the research from the Swiss Federal Institute of Technology, “As starting point of the neural network calibration, we use exactly these two separate (overdispersed) Poisson models. Such a nested model can be interpreted as a boosting machine.”

According to the news reporters, the research concluded: “It allows us for joint modeling and mutual learning of claim counts and claim amounts beyond the two individual (overdispersed) Poisson models.”

For more information on this research see: A Neural Network Boosted Double Overdispersed Poisson Claims Reserving Model. ASTIN Bulletin, 2020;50(1):25-60. ASTIN Bulletin can be contacted at: Cambridge Univ Press, Edinburgh Bldg, Shaftesbury Rd, CB2 8RU Cambridge, England.

Our news journalists report that additional information may be obtained by contacting Andrea Gabrielli, Swiss Federal Institute of Technology, RiskLab, Dept. of Mathematics, Zurich, Switzerland.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1017/asb.2019.33. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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