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
Sprechzeiten
nach Vereinbarung
Arbeitsgebiete
Statistik für inverse Probleme
funktionale Daten
hochdimensionale Daten
differential privacy
Publikationen
Dunsche, M., Kutta, T. and Dette, H. (2022) The empirical residual process in an inverse regression model.
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.
Eingereicht:
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)Abschlussarbeiten
Masterarbeit Mathematik, Ruhr-Universität Bochum, 2018 Zeitschriften