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1. MSIND
2. Research
3. Events
Learning Session on Quantile-Based Covariate Adjustment

Session on Quantile-Based Covariate Adjustment If you want to improve your knowledge in quantile regression and analysis of covariance , we invite you to our one-day Learning Session on Quantile-Based Covariate [...] to study mathematical foundations of quantile-based methods in-depth. We will deal with quantile regression as well as generalized analysis of covariance (ANCOVA) models. On both topics, experts will teach [...] assistant professor at Vrije Universiteit Amsterdam, who published several recognized works on quantile regression such as this recent one . Dr. Georg Zimmermann , postdoc at the University of Salzburg and team …
1. GRK 2624
2. Research
3. Projects
R2: ToxEnv-NLReg

R2: ToxEnv-NLReg Regression with nonlinear modelling of metric environmental and toxicological influence factors In project R2 flexible regression techniques will be used, which enable an automatic, d [...] sake of simplicity, the effects of predictors are often assumed to be linear in regression (classical linear regression model). However, this is a very strong and restrictive assumption. In reality, often [...] and Shape (GAMLSS; Rigby and Stasinopoulos, 2005). In this project, this whole range of flexible regression techniques for modelling environmental and toxicological factors influencing health will be exploited …
1. TRR 391
2. Research
3. Projects
A07

A07 Distributional copula regression for space-time data A07 develops novel models for multivariate spatio-temporal data using distributional copula regression. Of particular interest are tests for the [...] develop novel models for multivariate spatio-temporal data based on copulas and distributional regression. In particular we leverage the potential of statistical testing and Bayesian shrinkage priors to [...] between multiple outcomes that are observed over space and time. With the help of distributional regression it will be possible to describe the entire conditional distributions - including the dependence …
1. GRK 2624
2. Research
3. Projects
P3: IncTimeDose-Splines

Parametric regression has low estimation variance, but high bias due to inflexible and possibly misspecified parametric functions describing the dose-response relationship. Semiparametric spline regression is [...] P3: IncTimeDose-Splines Two-dimensional spline regression to model incubation time-dose curves In project P3 dose-response relationships of ultraviolet B radiation (UVB radiation) and long-wave UVA radiation [...] radiation of natural sunlight are investigated with the help of two-dimensional spline regression. Ultraviolet B radiation (290-315 nm) is a complete carcinogen and contributes significantly to the development …
1. RST
2. Education
3. Lectures
Maschinelles Lernen

learning Regression and classification Basic concepts of statistics and probability Supervised learning Naive Bayes Linear Discriminant Instance-based learning methods Linear and polynomial regression Neural …
1. FAIR
2. Navigation
3. About
4. Scientists
Katja Ickstadt

for statistics at TU Dortmund University since 2001. Her research focusses on Bayesian methods, regression methods for very large, high-dimensional data, spatial and spatio-temporal point process modeling [...] scientists and practitioners in the field of biostatistics. Research Interests Bayesian statistics Regression methods for large high-dimensional data Spatio-temporal point process modeling in biostatistics [...] (2020). Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. arXiv:2004.07542v1 Ickstadt, K. , Schäfer, M., & Zucknick, M. (2018). Toward integrative Bayesian …
1. FAIR
2. Navigation
3. About
4. Scientists
Alexander Munteanu

Science Center. In October 2019, he became PI of a project on large-scale and high-dimensional regression within the collaborative research center SFB 876. Being a PI in FAIR offers him a great opportunity [...] Alexander Munteanu , Simon Omlor, and David P. Woodruff (2021). Oblivious sketching for logistic regression. In Proceedings of the 38th International Conference on Machine Learning (ICML), pages 7861–7871 [...] Chris Schwiegelshohn, Christian Sohler, and David P. Woodruff (2018). On coresets for logistic regression. In Advances in Neural Information Processing Systems 31 (NeurIPS), pages 6562–6571. https://p …
1. Department of Statistics
2. Department
3. Professors emeritus
4. Prof. Dr. Claus Weihs
Research

multilabel classifications as well as for regression. Subsampling percentages can be varied for the classes in classification and for observations and predictors in regression. NEW in version 2 from August 2025: [...] for classification and regression. By these functions, repeated measurements data can be analyzed, too. Moreover, multilabel 2-stage versions of classification and regression trees are now implemented [...] an R-package for the optimization of conditional inference trees (ctrees) for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of …
1. FAIR
2. Navigation
3. News and Events
4. Workshops
FAIR Workshop on Analyzing Intervention Effects

linear regression, with practical exercises to prepare participants for advanced methods. The second part focuses on more complex scenarios, introducing multilevel and multivariate piecewise regression models [...] Therefore, in this part of the workshop, we will introduce multilevel piecewise regression models and multivariate piecewise regression models. Furthermore, in case the parametric assumptions of these statistical [...] Participants should have a working knowledge of statistics at the level of BSc psychology (e.g., linear regression, t-tests). Further, they should bring their own notebook with R and R-packages scan and scplot …
1. EconStat
2. Chair
3. Team
M.Sc. Fabian Schmidt - TU Dortmund

Financial data Predictive regressions with unknown predictor persistence Predictability monitoring and prediction comparisons Time series data Talks Factor-based IVX predictive regression. 6th Vienna Workshop [...] (11/2023). Factor-based IVX predictive regression. 28 th Young Scientists Workshop, Statistische Woche 2023 . Dortmund, Germany (09/2023). Factor-based IVX predictive regression. UA RuhrMetrics Seminar . Hagen …