Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Campo, Bavo D. C."'
Autor:
Campo, Bavo D. C., Antonio, Katrien
Traditionally, the detection of fraudulent insurance claims relies on business rules and expert judgement which makes it a time-consuming and expensive process (\'Oskarsd\'ottir et al., 2022). Consequently, researchers have been examining ways to dev
Externí odkaz:
http://arxiv.org/abs/2308.11659
Autor:
Campo, Bavo D. C., Antonio, Katrien
Handling nominal covariates with a large number of categories is challenging for both statistical and machine learning techniques. This problem is further exacerbated when the nominal variable has a hierarchical structure. We commonly rely on methods
Externí odkaz:
http://arxiv.org/abs/2304.09046
Autor:
Campo, Bavo D. C., Antonio, Katrien
Actuaries use predictive modeling techniques to assess the loss cost on a contract as a function of observable risk characteristics. State-of-the-art statistical and machine learning methods are not well equipped to handle hierarchically structured r
Externí odkaz:
http://arxiv.org/abs/2206.15244
Autor:
Campo, Bavo D. C.1 (AUTHOR) bavo.campo@kuleuven.be, Antonio, Katrien1,2,3,4 (AUTHOR)
Publikováno v:
Scandinavian Actuarial Journal. Nov2023, Vol. 2023 Issue 9, p853-884. 32p.
Autor:
Campo, Bavo D. C., Antonio, Katrien
Publikováno v:
European Actuarial Journal; 20240101, Issue: Preprints p1-41, 41p