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1. STE
2. News: 1/6/2026
Publication on objectively and subjectively child-friendly environments by David Hölzel

characteristics of the built environment. Using Dortmund as a case study, the research employs regression models to demonstrate that the correlation between the objective environment and parental perception …
1. EconStat
2. Teaching
Courses

Data-Rich Environments (Seminar) (Winter 2022/23) Econometric Forecasting (Summer 2022) Predictive regressions for stock returns (Seminar) (Summer 2022) …
1. Physik
2. Event: 5/3/2022
LHC Physics as Fun Data Science

simulations and unfolding in a mathematically consistent manner, anomaly searches, and symbolic regression, to close the theory circle and return to formulas. …
1. MSNat - Fakultät Statistik - TU Dortmund
2. Teaching
Theses

Anwendung von unimodaler Regression auf diverse naturwissenschaftliche Datensätze , Bachelorarbeit Lena Okroy: Untersuchung der praktischen Anwendbarkeit von nichtlinearer Regression auf verschiedene Datensätze [...] in meteorologischen Sturmdaten mithilfe von Kerndichteschätzung und periodischer logistischer Regression , Bachelorarbeit Sophie Gimbach: Evaluation of Forecast Methods for Pharmaceutical Market Data [...] endlichen Zeitreihen, Masterarbeit Lukas Arendt: Ausreißereinfluss und -erkennung bei monotoner Regression , Masterarbeit Jiadai Qu: Vergleich von Qualitätskontrollkarten basierend auf Zwei-Stichproben …
1. STABI
2. Staff
3. Prof. Dr. Christine Müller (Seniorprofessor)
Software Packages

and Müller, Ch.H. (2007). Robust jump detection in regression surface. Sankrya 69, 55-86. T. Garlipp (2004). On robust jump detection in regression surfaces with applications to image analysis. Ph.D. [...] R package provides R functions for detection of pixel positions close to edges and for finding regression clusters within these pixel positions which provides the true edges. The package provides not only [...] The Indian Journal of Statistics 59, Series A, 268-294. Garlipp, T. and Müller, Ch. H. (2004). Regression Clustering with Redescending M-Estimators. In: Daniel Baier and Klaus-Dieter Wernecke (eds.): …
1. EconStat
Research

mainly concern econometric forecasting methodology. Currently, inferential aspects in predictive regressions with persistent predictors are studied in particular, without, however, neglecting other related …
1. Biometrie
2. Research
Projekte

Toxicology" . In SFB 876 "Availability of Information through Analysis under Resource Constraints". C4: Regression methods for very large, high-dimensional data In DFG priority funded project: Polymorphic uncertainty …
1. FAIR
2. Navigation
Research

data, especially the SHARELIFE subset. We plan to reevaluate existing data e.g. with predictive regression models using sketching and coreset methods to improve their scalability. The flexibility of sketching [...] repeated measures and complex panel data. Moreover, tree-based prediction models and random effects regression will be used for the development of new prediction models. To facilitate the analysis of large …
1. OW
2. News: 10/7/2021
New article published

theoretical underpinning. We conducted a survey of 549 continuing higher education university faculty. Regression analysis determined that relatedness was correlated with intrinsic teaching motivation but was …
1. RST
2. Education
3. Master
Datenbasierte Modellierung und Optimierung

semester Please note the timetable of the module in the EWS Course content Data-based modelling, regression, neural networks, fuzzy systems, instance-based methods, supervised learning Optimization: gradient …