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1. TRR 391
2. Research
Projects

Dortmund University), Christoph Hanck (University of Duisburg-Essen) A07 Distributional copula regression for space-time data lead by Holger Dette (Ruhr University Bochum), Nadja Klein (Karlsruhe Institute …
1. TRR 391
2. Events
Summer Schools

Matteo's course features Generalized Additive Models (GAMs) models, an extension of traditional regression models. They strike a balance between flexibility and interpretability, while being able to handle …
1. TRR 391
2. Research
3. Projects
C02

10.48550/arXiv.2509.19417 . Pappert, S. (2025). The Field Equations of Penalized non-Parametric Regression. arXiv . DOI: 10.48550/arXiv.2503.14763 . Ben Amor, S., Ziel, F. (2025). Combining RNN and Linear …
1. STABI
2. Staff
3. Prof. Dr. Guido Knapp
Publications Knapp

Bumrungsup, C., Knapp, G. (2013). On estimating residual heterogeneity in random-effects meta-regression: A comparative study. Journal of Statistical Theory and Appli- cations, 12, 253–265. 9. Knapp, [...] Mathematicae, 78, 207–221. 22. Knapp, G., Hartung, J. (2003). Improved tests for a random effects meta-regression with a single covariate. Statistics in Medicine, 22, 2693–2710. 23. Hartung, J., B ̈ockenhoff, [...] Biometrical Journal, 45, 3–19. 25. Knapp, G. (2002). Variance estimation in the error components regression model. Communications in Statistics – Theory and Methods, 31, 1499–1514. 26. Hartung, J., Knapp …
1. LWuS
2. Homepage
3. Research
Publications - Chair of Buisness and Social Statistics

5386. DOI. Dorn, M., Birke, M. and Jentsch, C. (2024). Testing exogeneity in the functional linear regression model. Akzeptiert für Statistica Sinica . arXiv . Steinmetz, J. and Jentsch, C. (2024). Bootstrap [...] Jentsch, C. (2023). A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions. Journal of Business & Economic Statistics . arXiv . DOI . Lange, K.-R., Jentsch, C. (2023). SpeakGer: [...] DOI . Working Paper . Prüser, J. (2019). Forecasting with many predictors using Bayesian Additive Regression Trees. Journal of Forecasting 38 (7), 621-631. DOI . Prüser, J. and Schlösser, A. (2019). The Effects …
1. FAIR
2. Navigation
3. News and Events
4. Graduate Program
Graduate Program 2023

learning and their implication for data analysis, (ii) advantages and limitations of regularized regression models for low, medium and high dimensional data with a focus on the Lasso, and (iii) practical …
1. MNE
2. Teaching
Theses and Student Projects

dotierter HfO2 Dünnschichten 2025 ZubairAhmed Ansari A Machine Learning Driven Approach to Optimizing Regression Test Binning: Enhancing Debugging Efficiency in Digital Frontend Verification 2025 Timon Georg …
1. Department of Statistics
2. Department
3. Professors emeritus
4. Prof. Dr. Wolfgang Urfer
Publications

Technical Report No. 30/1999 . GILBERG, F., EDLER, L. and URFER, W. (1999): Heteroscedastic Nonlinear Regression Models with Random Effects and their Application to EnzymeKinetic Data, Biometrical Journal 41 [...] Statistics, University of Dortmund. KIRSCHBAUM, N. and URFER, W. (2006): Partial least squares regression analysis of biomolecular interactions using surface plasmon resonance biosensor technology. Research [...] 43-56. ODAI, R., KÖTTING, J., KWAGYAN, J., BONNEY G.E. and URFER, W. (2002): Correlated Weibull Regression Model for Multivariate Binary Data. SFB 475, University of Dortmund. Technical Report No. 66/2002 …
1. LWuS
2. Homepage
3. Chair
4. Team
Prof. Dr. Carsten Jentsch - TU Dortmund University

and Jentsch, C.: A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions. arXiv . Publications 2025 Dzikowski, D. and Jentsch, C. (2025). Structural Periodic Vector Au [...] 5386. DOI. Dorn, M., Birke, M. and Jentsch, C. (2024). Testing exogeneity in the functional linear regression model. Accepted for Statistica Sinica . arXiv . Steinmetz, J. and Jentsch, C. (2024). Bootstrap [...] Jentsch, C. (2023). A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions. Journal of Business & Economic Statistics . arXiv . DOI . Lange, K.-R., Jentsch, C. (2023). SpeakGer: …
1. GRK 2624
2. Research
3. Projects
P11: DesAna-ConcRespExp

Lanteri A, Leorato S, López-Fidalgo J, Tommasi C. (2023). Designing to detect heteroscedasticity in a regression model, Journal of the Royal Statistical Society Series B: Statistical Methodology 85, 2. doi: 10 …