Dr. Tim Kutta

Ruhr-Universität Bochum

Department of Mathematics
Institute of Statistics
Building 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

Office hours

by appointment

Research interests

Statistics for inverse problems
functional data analysis
high dimensional data
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


  • Referee for Bernoulli
  • Referee for Journal of the American Statistical Association