12 citations · 16 across the 4 of their papers we have counts for
4 papers
Towards reliable predictive analytics: a generalized calibration framework
Bavo De Cock Campo
Calibration is a pivotal aspect in predictive modeling, as it ensures that the predictions closely correspond with what we observe empirically. The contemporary calibration framewo…
An engine to simulate insurance fraud network data
Bavo D. C. Campo, Katrien Antonio
Traditionally, the detection of fraudulent insurance claims relies on business rules and expert judgement which makes it a time-consuming and expensive process (Óskarsdóttir et al.…
On clustering levels of a hierarchical categorical risk factor
Bavo D. C. Campo, Katrien Antonio
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 nomi…
Insurance pricing with hierarchically structured data: An illustration with a workers' compensation insurance portfolio
Bavo D. C. Campo, Katrien Antonio
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 learni…