Dr. Tim Kutta

Ruhr-Universität Bochum
Fakultät für Mathematik
Lehrstuhl für Stochastik
Gebäude IB 2/69
Universitätsstrasse 150
D-44801 Bochum

Tel.: +49 (0)234 / 32 23038
Fax: +49 (0)234 / 32 14559
E-Mail: tim dot kutta at ruhr-uni-bochum.de


nach Vereinbarung


Statistik für inverse Probleme
funktionale Daten
hochdimensionale Daten
differential privacy


Dunsche, M., Kutta, T. and Dette, H. (2022)
Multivariate mean comparison under differential privacy.
PSD 2022: Privacy in Statistical Databases, 31-45.

Askin, Ö., Kutta, T. and Dette, H. (2022)
Statistical quantification of differential privacy: A local approach,
43rd IEEE Symposium on Security and Privacy

Dette, H., Dierickx, G. and Kutta, T. (2021+).
Quantifying deviations from separability in space-time functional processes.
Bernoulli, to appear.

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.


Askin, Ö., Dunsche, M., Kutta, T. (2022)
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting.(arXiv:2212.04739)

Dette, H., Kutta, T. (2022)
Validating Approximate Slope Homogeneity in Large Panels.(arXiv:2205.02197)

Kutta, T., Dierickx, G. and Dette, H. (2021).
Statistical inference for the slope parameter in functional linear regression. (PDF)


The empirical residual process in an inverse regression model.
Masterarbeit Mathematik, Ruhr-Universität Bochum, 2018


  • Gutachter für Bernoulli
  • Gutachter für Journal of the American Statistical Association