Author(s): Kris De Brabanter
In this brief manuscript we describe some of the recent advancements and challenges in the field of nonparametric regression with errors-in-variables. These problems arise (in principle) each time when data is measured due to the inaccuracy of the measuring equipment. We discuss 5 challenges in this field and provide recent references discussing this problem setting.