Responsible actuarial and statistical learning KU Leuven
Insurance is a highly data driven business, where reliance on analytics for decision making is key. Actuaries design risk transfers and require appropriate methods to model, to estimate and to predict risks. Insurers collect fine-grained, high-dimensional data, where both the presence of covariates of different types (e.g., continuous, factor, spatial) as well as the volume of the data are challenging. The focus of the PhD research is on ...