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1. GRK 2624
2. Research
3. Projects
R4: RegImage-Tox

RegImage-Tox High-dimensional regression for image data in toxicology In project R4 (High-dimensional regression for image data in toxicology) , we will develop regression methods for image data to answer [...] data from different imaging techniques for classification problems. In project R4, we will tackle regression problems, where the response variable is continuous instead of categorical. A major application [...] subjects, such as mouse body weight, age, or sex. For the sake of simplicity, in basic classical regression models, the effects of predictors are often assumed as being linear. However, this is a very strong …
1. GRK 2624
2. Research
3. Projects
P7: GeneExpressionCurves

demonstrating equivalence of entire regression curves instead of single quantities becomes a matter and the hypotheses of such an equivalence test are based on these regression models (see, e.g., Dette et al [...] of information for the concentrations in-between. In order to overcome these issues, the use of regression models describing the relationship between a response variable and several covariates has been [...] been proposed in recent toxicological research (see, e.g., Ritz, 2010). Precisely, non-linear regression models are used to describe the relationship between a concentration or an exposure time and a response …
1. MSIND
2. News: 2/23/2022
IBS-DR: Bernd Streitberg Prize 2022 goes to Eric Knop

and Industrial Applications), is entitled "Robust Confidence Intervals for Mixed-Effects Meta-Regression with Interaction". In his paper, motivated by a study of COPD, Eric compares robust covariance [...] estimators, which actually find application in econometrics, in the context of meta-regression. In doing so, he addresses the specifics of estimating models with interaction effects. The award will be …
1. GRK 2624
2. Research
3. Projects
I1: RiskScore

integrated regression model for the skin aging phenotype (Y), given by Y = β 0 + β 1 RS RNAseq + β 2 RS proteome + β 3 RS secretome . The risk scores are weighted using regularised regression procedures [...] age-dependent. This can be reflected by formulating a hierarchical mixed model that generalises the regression model above. Moreover, interactions between intrinsic and extrinsic factors might play an important [...] information from external databases in the weighting of the omics risk scores as part of a Bayesian regression analysis. References Hüls A, Ickstadt K, Schikowski T, Krämer U (2017a). Detection of gene-environment …
1. Spatial Modelling Lab
2. Research
3. Research areas
Spatial statistics

on new ways of representing "space" in regression and other types of modelling. This includes the explicit inclusion of space as an explanatory factor in regression models to reveal the effect of space in [...] in complex systems. Our work investigates both methodological aspects of both regression modelling and spatial filtering. The latter is a set of techniques based on the representation and understanding …
1. STABI
2. Staff
3. Former academic staff
Dr. Melanie Horn

Müller, C.H. (2021+) Outlier Robust Sign Depth Tests in Multiple Regression. Software Horn, M. (2021). GSignTest: Robust Tests for Regression-Parameters via Sign Depth. R package version 1.0.8. URL: github [...] (WS 20/21) Publikationen Dissertation Melanie Horn: Sign Depth for Parameter Tests in Multiple Regression. 2021, Technische Universität Dortmund Veröffentlichte Paper Horn, D., Dagge, M., Sun, X., Bischl [...] and Design, S. 271 - 279. Horn, M., Müller, C.H. (2020) Tests based on sign depth for multiple regression. SFB 823 Discussion Paper Eingereichte Paper Leckey, K., Malcherczyk, D., Horn, M., Müller, C.H …
1. STATML
2. Curriculum Vitae
Supervision

Mayr) since Dec. 2019 PhD thesis of Paul Bach: Properties of non-local priors for distributional regression (Humboldt-Universität zu Berlin) since Oct. 2019 PhD thesis of Lucas Kock: Deep Gaussian mixture [...] (Humboldt-Universität zu Berlin) 2017 - 2022 PhD thesis of Hannes Riebl: Spatio-temporal distributional regression modelling (Georg-August-Universität Göttingen, joint supervision with Thomas Kneib) 2017 - 2020 [...] supervision with Thomas Kneib) 2016 - 2020 PhD thesis of Manuel Carlan: Bayesian distributional regression: From effect selection priors in generalized additive models for location, scale and shape to Bayesian …
1. MS
2. Research
Publications

bliothek Dortmund, Dortmund. Schorning, K. , & Dette, H. (2021). Optimal designs for comparing regression curves: dependence within and between groups. Journal of statistical theory and practice , 15 (4) [...] , Konstantinou, M. & Dette, H. (2021). Optimal Designs for Series Estimation in Nonparametiric Regression with Correlated Data. Statistica Sinica 31 , 1-25. doi:https://doi.org/10.5705/ss.202018.0497 2019 [...] /asz036 Dette, H., Konstantinou, M., Schorning, K. , & Gösmann, J. (2019). Optimal designs for regression with spherical data. Electronic journal of statistics , 13 (1), 361–390. https://doi.org/10.12 …
1. IFS
2. News: 12/12/2024
Article in Electoral Studies published

makes voting in subsequent elections more likely – has received empirical support from several regression discontinuity studies which use age-based eligibility cut-offs, including one which extends these [...] 2019). The article “Revisiting eligibility effects of voting at 16: Insights from Austria based on regression discontinuity analyses” by Elisabeth Graf, Julia Partheymüller, Laura Bronner and Sylvia Kritzinger …
1. EconStat
2. Chair
3. Team
Prof. Dr. Matei Demetrescu - TU Dortmund University

Forecast comparisons Complex data Large-N large-T panel data Cross-unit dependence Quantile panel regressions Publications Selected publications: Hoga, Y. and Demetrescu, M. (2022). Monitoring Value-at-Risk [...] Demetrescu, M. (2015). Instrumental Variable and Variable Addition Based Inference in Predictive Regressions. Journal of Econometrics 187 (1), 358-375. DOI . Demetrescu, M. (2007). Optimal Forecast Intervals [...] Data-Rich Environments (Seminar) (Winter 2022/23) Econometric Forecasting (Summer 2022) Predictive regressions for stock returns (Seminar) (Summer 2022) Further information Curriculum vitae …