most citedModel Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2022★ 9 cited

Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice

Tobias Fissler, Christian Lorentzen, Michael Mayer

One of the main tasks of actuaries and data scientists is to build good predictive models for certain phenomena such as the claim size or the number of claims in insurance. These m…