34 citations · 45 across the 3 of their papers we have counts for
4 papers
Predicting future insurance markets: Simulation of technology adoption paths with a Bayesian Bass model
Markus Johannes Maier, Matthias Scherer
Technological progress can give rise to new loss exposures or reduce existing risks. In either case, it strongly affects insurance companies' existing lines of business. As the mag…
Optimal basis risk weighting in expectile-based parametric insurance
Markus Johannes Maier, Matthias Scherer
Parametric insurance contracts translate index measurements to compensation for policyholders' losses using predefined payment schemes. These need to be designed carefully to keep…
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization
Christopher König, Mohammad Khosravi, Markus Maier +3
This paper presents an automated, model-free, data-driven method for the safe tuning of PID cascade controller gains based on Bayesian optimization. The optimization objective is c…
Self-Optimizing Grinding Machines using Gaussian Process Models and Constrained Bayesian Optimization
Markus Maier, Alisa Rupenyan, Christian Bobst +1
In this study, self-optimization of a grinding machine is demonstrated with respect to production costs, while fulfilling quality and safety constraints. The quality requirements o…