dr. K. Proksch (Katharina)

Assistant Professor

About Me

I am a mathematician with main research interests in non-parametric and asymptotic statistics, as well as statistical inverse problems. Of particular interest to me is the development and theoretical investigation of means of statistical inference for applications from the natural sciences. In this context, I have been working on the construction of statistical tests and confidence statements with a recent focus on statistical multiscale analysis and its application to (nanophotonic) imaging and inference on three-dimensional molecular distributions in biological samples. Most of my scientific work has been at the interface of several disciplines, which is what I really love about statistics.


Ill-Posed Problem
Inverse Model
Inverse Regression
Radon Transform
Regression Function
Regularization Parameter
Simultaneous Inference


Finocchio, G. (2021). Two perspectives on high-dimensional estimation problems: posterior contraction and median-of-means. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036552356
Bissantz, K., Bissantz, N. , & Proksch, K. (2021). Nonparametric detection of changes over time in image data from fluorescence microscopy of living cells. Scandinavian journal of statistics, 48(3), 1001-1017. Advance online publication. https://doi.org/10.1111/sjos.12517
Munk, A. , Proksch, K., Li, H., & Werner, F. (2020). Photonic imaging with statistical guarantees: From multiscale testing to multiscale estimation. In Topics in Applied Physics (pp. 283-312). (Topics in Applied Physics; Vol. 134). Springer. https://doi.org/10.1007/978-3-030-34413-9_11
Dunker, F., Eckle, K. , Proksch, K., & Schmidt-Hieber, A. J. (2019). Tests for qualitative features in the random coefficients model. Electronic Journal of Statistics, 13(2), 2257-2306. https://doi.org/10.1214/19-EJS1570
Eckle, K., Bissantz, N., Dette, H. , Proksch, K., & Einecke, S. (2018). Multiscale inference for a multivariate density with applications to X-ray astronomy. Annals of the Institute of Statistical Mathematics, 70(3), 647-689. Advance online publication. https://doi.org/10.1007/s10463-017-0605-1

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 2098
Hallenweg 19
7522NH  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  2098
P.O. Box 217
7500 AE Enschede
The Netherlands