Search - MSNat - Fakultät Statistik - TU Dortmund - TU Dortmund

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1. Department of Statistics
2. Research
3. Publications
Research and Working Reports

“On contractions in linear regression”, März, 95/3. Rasch, D.A.M.K., Müller, R.M.S., Hering, F. und Hendrix, E.M.T. “Replication-free optimal design in logistic regression”, Januar, 95/2. Hering, F. und [...] of s² in the linear regression model with serially correlated two-way error components”, Juni, 94/3. Zheng, T. “The study of computer-intensive methods: non-parametric regression and non-linear non-parametric [...] “Least median of weighted squares in logistic regression with large strata”, Juni, 93/4. Pordzik, P. R. und Trenkler, G. “Pre-test estimation in the linear regression model with competing restrictions”, Mai …
1. Genetik
2. Chair
3. Team
M.Sc. Marieke Stolte - TU Dortmund

TU Dortmund University, 2019 - 2021 Master's Thesis: Bias in Logistic Regression [Verzerrung in der logistischen Regression] B.Sc. (Statistics): TU Dortmund University, 2016 - 2019 Bachelor's Thesis: [...] Herbrandt, S., & Ligges, U. (2024). A comprehensive review of bias reduction methods for logistic regression. Statistics Surveys , 18 , 139–162. https://doi.org/10.1214/24-ss148 Stolte, M., Kappenberg, F [...] parametric simulation in estimating the mean squared error of the least squares estimator in linear regression. PLoS ONE , 19 (5), Article e0299989. https://doi.org/10.1371/journal.pone.0299989 2023 Stolte …
1. EconStat
2. Chair
3. Team
M.Sc. Lucas Pereira Azevedo - TU Dortmund

Economics, TU Dortmund University Research interests Autoregressive Value-at-Risk models Predictive regressions with persistent predictors Measures of systemic risk Teaching Econometric Forecasting (Winter 2024/25) …
1. STATML
Uncertainty Quantification and Statistical Learning

methods Bayesian deep learning Machine learning Smoothing Regularization and shrinkage Distributional regression Network analysis Spatial statistics We are co-affiliated with the Research Center Trustworthy Data …
1. BD
2. Research
3. Talks
Alexander Gerharz

Talks M.Sc. Alexander Gerharz Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?, DStatG, September 15, 2021, Kiel, Germany …
1. Spatial Modelling Lab
2. Teaching
Spatial Statistics and Analysis

statistics Modelling geographical relations Spatial autocorrelation Spatial hotspot statistics Spatial regression Course Leader …
1. PAS
2. News: 2/26/2021
Teaching assistant: machine learning methods for engineers

learning and artificial intelligence with a focus on engineering applications. Topics include linear regression and classification, support vector machines, deep learning, convolutional neural networks, among …
1. Graduiertenzentrum
2. Event: 2/16/2023
SPSS-Kurs (Einführung) | Methoden für Geistes- & Sozialwissenschaften

yse (Scores, Validität, Reliabilität) Statistische Tests (t-Test, Mann-Whitney-U-Test) Lineare Regression Es werden weder Vorkenntnisse in SPSS noch in Statistik vorausgesetzt. Referentinnen: Dr. Swetlana …
1. Fakultät Statistik
2. Research
3. Publications
PhD Theses and Habilitations

Methods for Ordinal Prediction (Pauly) Guillermo Briseño Sanchez: Extending the Distributional Regression Framework: Treatment Effects, Mixed Responses and Data-driven Variable Selection (Groll) 2024 Louis [...] Methoden zur Validierung von Inhaltsanalysen (Rahnenführer) Hendrik van der Wurp: Two-dimensional Regression Modelling with Copula Dependencies and a Focus on Count Data and Sports Applications (Groll) Karsten [...] Inference for the Reserve Risk (Jentsch) Simon Omlor: Compressing data for generalized linear regression (Munteanu) 2022 Sebastian Krey: Clusteranzahlbestimmung und Clusterung unter Nebenbedingungen in …
1. SBAZ
2. Team
SBAZ - Marieke Stolte

Sc., Department of Statistics, TU Dortmund University) Thesis: "Verzerrung in der logistischen Regression" Referee: Dr. Uwe Ligges 2025 Doctorate (Dr. rer. nat., Department of Statistics, TU Dortmund [...] Herbrandt, S., Ligges, U. (2024): A Comprehensive Review of Bias Reduction Methods for Logistic Regression. Statistics Surveys 18. doi:10.1214/24-SS148 . Stolte, M., Schreck, N., Slynko, A., Saadati, M [...] Parametric Simulation in Estimating the Mean Squared Error of the Least Squares Estimator in Linear Regression. Plos one 19 (5). doi:10.1371/journal.pone.0299989 . Stolte, M. Albrecht, W., Brecklinghaus, T …