2 papers
math.ST2020
On the density estimation problem for uncertainty propagation with unknown input distributions
Sebastian Kersting, Michael Kohler
In this article we study the problem of quantifying the uncertainty in an experiment with a technical system. We propose new density estimates which combine observed data of the te…
eess.SY2020
Uncertainty Quantification in Case of Imperfect Models: A Review
Sebastian Kersting, Michael Kohler
Uncertainty quantification of complex technical systems is often based on a computer model of the system. As all models such a computer model is always wrong in the sense that it d…