Dr. Tim Kutta
Research Assistant
Address:
Ruhr-University Bochum
Department of Mathematics
Institute of Statistics
Building IB 2/69
Universitätsstrasse 150
D-44801 Bochum
Phone:
+49 234/32-23038
Publications
- Dunsche, M., Kutta, T. and Dette, H. (2022).
Multivariate Mean Comparison Under Differential Privacy.
Privacy in Statistical Databases 2022, 31-45 - Askin, Ö., Kutta, T. and Dette, H. (2022).
Statistical quantification of differential privacy: A local approach.
2022 IEEE Symposium on Security and Privacy, 402-421 - Kutta, T., Dierickx, G. and Dette, H. (2022).
Statistical inference for the slope parameter in functional linear regression.
Electronic Journal of Statistics, 16(2), 5980-6042 - Dette, H., Dierickx, G. and; Kutta, T. (2022).
Quantifying deviations from separability in space-time functional processes.
Bernoulli, 28(4), 2909-2940 - Dette, H. and Kutta, T. (2021).
Detecting structural breaks in eigensystems of functional time series.
Electronic Journal of Statistics, 15(1), 944-983 - Kutta, T., Bissantz, N., Chown, J. and Dette, H. (2019).
The Empirical Process of Residuals from an Inverse Regression.
Mathematical Methods of Statistics, 28(2), 104–126
Submitted
- Askin, Ö., Dunsche, M. and Kutta, T. (2022).
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting.
arXiv: 2212.04739 - Dette, H. and Kutta, T. (2022).
Validating Approximate Slope Homogeneity in Large Panels.
arXiv: 2205.02197
Theses
- Pivotal goodness-of-fit measures in functional data analysis.
Doctoral Thesis Mathematics, Ruhr-Universität Bochum, April 2022
Prof. Dr. Holger Dette - The empirical residual process in an inverse regression model.
Master Thesis Mathematics, Ruhr-Universität Bochum, 2018
Prof. Dr. Holger Dette - Der isonormale Gaußprozess.
Bachelor Thesis Mathematics, Ruhr-Universität Bochum, 2016
Prof. Dr. Angelika Rohde
