Dr. Patrick Bastian

Research Associate

Address:
Ruhr University Bochum
Department of Mathematics
Institute of Statistics
Building IB 2/69
Universitätsstrasse 150
D-44801 Bo­chum

Phone:
+49 234/32-23288

E-Mail:
patrick(dot)bastian(at)ruhr-uni-bochum(dot)de

Office hours

by appointment

 

Research Interests

  • Functional data
  • Time series
  • Structural break analysis
  • High-dimensional statistics

Publications

Submitted

  • Bastian, P., Kutta T., Basu, R., Dette, H. (2025).
    Monitoring Time Series for Relevant Changes.
    arXiv: 2509.01756 
  • Bastian, P., Kutta, T. (2025).
    TWIN: Two window inspection for online change point detections.
    arXiv: 2510.11348 
  • Bastian, P., Dette, H., Dunsche, M.(2025).
    Differentially private testing for relevant dependencies in high dimensions.
    arXiv: 2511.17167 
  • Dunsche, M., Bastian, P., Maehren, M., Erinola, E., Merget, R., Bissantz, N., Dette, H., Schwenk, J.(2025).
    Silent: A new lens on statistics in software timing side channels.
    .
    arXiv: 2504.19821 
  • Bastian, P., Dette, H. (2025).
    Multiscale detection of practically significant changes in a gradually varying time series
    .
    arXiv: 2504.15872
  • Bastian, P., Bissantz, N. (2025).
    Detecting relefant dependencies under measurement error with applications to the analysis of planetary system evolution.
    arXiv: 2504.05055
  • Florian, H., Bastian, P., Dette, H. (2025).
    Sequential Outlier Detection in Non-Stationary Time-Series.
    arXiv: 2502.18038 

Theses

  • Testing for practically significant dependencies in high dimensions via bootstrapping.
    Doctoral Thesis Mathematik, Ruhr-Universität Bochum, 2024
    Simultan Masterthesis via Fast-Track
    Prof. Dr. Holger Dette
  • On the covariance and continuity structure of Gauss-Markov processes.
    Bachelor Thesis Mathematics, Ruhr-Universität Bochum, 2018
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