Dr. Jonathan Flossdorf

• Dezember 2024: Promotion im Fach Statistik, TU Dortmund
  Dissertation: Statistical methods for complex data structures: change detection and goodness-of-fit testing for stochastic networks and an online monitoring framework for text data (pdf)
• seit Februar 2020: Wissenschaftlicher Mitarbeiter und Promovierender
• 2018-2019: M.Sc. Statistik, TU Dortmund
  Masterarbeit: Interne Validierungsmaße für nicht-sphärische Clusterformen
• 2014-2017: B.Sc. Statistik, TU Dortmund

• Brune, B., Flossdorf, J. und Jentsch, C. (2024). Goodness-of-fit testing based on graph functionals for homogeneous Erdös–Rényi graphs. Scandinavian Journal of Statistics, 1–49.  
• Flossdorf, J., Fried, R. und Jentsch, C. (2023). Online Monitoring of Dynamic Networks using flexible Multivariate Control Charts. Social Network Analysis & Mining, 13, 87. DOI.
• Krause, C., Rieger, J., Flossdorf, J., Jentsch, C. und Beck, F. (2023). Visually Analyzing Topic Change Points in Temporal Text Collections. Accepted for Proceedings of the Conference on Vision, Modeling, and Visualization.
• Rieger, J., Hornig, N., Flossdorf, J., Müller, H., Mündges, S., Jentsch, C., Rahnenführer, J. und Elmer, C. (2023). Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. Accepted for DiTox'23. pdf. GitHub.
• Rieger,  J., Lange, K.-R., Flossdorf, J. und Jentsch, C.  (2022). Dynamic Change Detection in Topics based on Rolling LDAs. Proceedings of the Text2Story'22 Workshop. CEUR-WS 3117, 5-13. pdf.
• Flossdorf,  J., und Jentsch, C.  (2021). Change Detection in Dynamic Networks Using Network Characteristics. IEEE Transactions on Signal and Information Processing over Networks 7, 451 - 464. DOI.

Aktuelle Einreichungen

• Flossdorf, J., Meyer, A., Artjuch, D., Schneider, J. und Jentsch, C.: Unsupervised Movement Detection in Indoor Positioning Systems. pdf.

• Goodness-of-fit testing based on graph functionals for homogeneous Erdös-Rényi graphs. IMS Bernoulli 11th World Congress in Probability & Statistics, Bochum, Germany (08/2024).
• Change Detection in Dynamic Networks. EUSN 2022, London, Great Britain (09/2022).
• Change Detection in Dynamic Networks Using Flexible Multivariate Control Charts. COMPSTAT 2022. Bologna, Italy (08/2022).

• Statistical Network Analysis (WiSe 2024/25)
• Statistical Network Analysis (WiSe 2022/23)
• Fallstudien I (WiSe 2021/22)
• Statistik VI - Entscheidungstheorie (SoSe 2020)