dr. K. Proksch (Katharina)

Assistant Professor
EEMCS-AM-MOR
Zilverling 2098
k.proksch@utwente.nl
+31534899062
Business card

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.

Expertise

  • Mathematics

    • Regression Model
    • Simultaneous Inference
    • Transforms
    • Approximation
    • Convolution
    • Extreme Value Theory
    • Samples
    • Asymptotic Normality

Organisations

Publications

2023
Toward quantitative super-resolution microscopy: molecular maps with statistical guarantees (E-pub ahead of print/First online). Proksch, K., Werner, F., Keller–Findeisen, J., Ta, H. & Munk, A.https://doi.org/10.1093/jmicro/dfad053
2022
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data. Proksch, K., Weitkamp, C. A., Staudt, T., Lelandais, B. & Zimmer, C.https://arxiv.org/abs/2205.07689Towards quantitative super-resolution microscopy: Molecular maps with statistical guarantees. Proksch, K., Werner, F., Munk, A., Keller-Findeisen, J. & Ta, H.https://arxiv.org/abs/2207.13426
2021
Two perspectives on high-dimensional estimation problems: posterior contraction and median-of-means. University of Twente. Finocchio, G.https://doi.org/10.3990/1.9789036552356Nonparametric detection of changes over time in image data from fluorescence microscopy of living cells, 1001-1017. Bissantz, K., Bissantz, N. & Proksch, K.https://doi.org/10.1111/sjos.12517Robust-to-outliers square-root LASSO, simultaneous inference with a MOM approach. ArXiv.org. Finocchio, G., Derumigny, A. & Proksch, K.
2020
Simultaneous inference for Berkson errors-in-variables regression under fixed design. ArXiv.org. Proksch, K., Bissantz, N. & Holzmann, H.https://arxiv.org/abs/2009.00936Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference. ArXiv.org. Weitkamp, C. A., Proksch, K., Tameling, C. & Munk, A.https://arxiv.org/abs/2006.12287Photonic imaging with statistical guarantees: From multiscale testing to multiscale estimationIn Topics in Applied Physics (pp. 283-312). Springer. Munk, A., Proksch, K., Li, H. & Werner, F.https://doi.org/10.1007/978-3-030-34413-9_11

Research profiles

Address

University of Twente

Zilverling (building no. 11), room 2098
Hallenweg 19
7522 NH Enschede
Netherlands

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