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1. Spatial Modelling Lab
2. Research
3. Ongoing research
Characterising spatially structured variance

us data sets as extracted from social media, blogs, or other types of Big Data sources. Data from everyday life, and especially those generated by ordinary people themselves, are complex. Such data represent [...] structure of this type of data. However, existing methods for assessing spatial heterogeneity are not sufficiently suitable for characterising these complex, unsystematic, and mixed data types. We are therefore [...] , Resch, B. and Zipf, A. (2016): Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis. PLOS ONE , 11 (9), e0162360. DOI: 10.1371/journal.pone.0162360 . Associated researchers …
1. RDM
2. RDM at TU Dortmund
NFDI - National Research Data Infrastructure

NFDI National Research Data Infrastructure Data are the basis of an increasingly digital science. Digital methods in the collection, analysis and linking of data offer great opportunities for research [...] great potential in the subsequent use of data, which, however, often remains unused because data are not sufficiently accessible or not available. Dealing with data is complex and makes subject-specific [...] approaches inevitable due to the heterogeneity of the research processes and data. Therefore, there are no universal solutions and only the scientists themselves can decide what infrastructures and services …
1. Compstat
2. Teaching
WS 2023/24

Computational Statistics see LSF , Moodle Applied Bayesian Data Analysis see LSF , Moodle Data Science in Context see LSF , Moodle Introduction to Julia see LSF , Moodle Introduction to Python see LSF …
1. Compstat
Teaching

Computational Statistics see LSF , Moodle Applied Bayesian Data Analysis see LSF , Moodle Data Science in Context see LSF , Moodle Introduction to Julia see LSF , Moodle Introduction to Python see LSF …
1. FAIR
2. Navigation
3. News and Events
4. Workshops
FAIR Workshop on Prediction Modeling

Learning Abstract: Modern data regimes require advanced statistical modeling techniques to allow for big or high-dimensional data, complex data generating processes and non-tabular data modalities such as images [...] models. Synthesis of Randomized Studies & Real-World Data We discuss the synthesis of data from randomized controlled trials and real-world data to advance personalized medicine. [...] statistical modeling. Our invited speakers are: David Rügamer (LMU Munich) Thomas Debray (Smart Data Analysis and Statistics) Long Nguyen (University of Copenhagen) When and where Date and Time: October 11 …
1. MSIND
2. Chair
3. Team
Prof. Dr. Markus Pauly - TU Dortmund University

Multivariate and repeated measures analysis Resampling techniques Statistical and machine learning in theory and application Survival time analysis Time series analysis Memberships Member of the Committee [...] Associate Editor für Biometrical Journal (since 2020) Associate Editor für Computational Statistics & Data Analysis (2016 - 2021) Associate Editor für Statistics and Risk Modelling (2018-2024) Short CV Since 03/2019: [...] Board Member of the IBS-DR (since 2023) Scientific Board Member of the Research Center Trustworthy Data Science and Security (2021-2024) Chair of the working group "Nonparametric methods" of the German …
1. GRK 2624
2. Research
3. Projects
P8: TimeConc-Resp

P6: ConcExp-Param Analysis and comparison of time-concentration-response curves In project P8 (Analysis and comparison of time-concentration-response curves) , we develop statistical methods for analysing [...] analysing and comparing time-concentration-response curves. When analysing toxicological data, particularly gene expression data, model-based approaches have turned out to be very effective, see, e.g., Kappenberg [...] planning stage of an experiment. Building up on this, in this project we will consider the analysis of the experimental data by utilising time-dose response models in various ways. We consider different approaches …
1. IRWP
2. News: 12/3/2024
PwC award ceremony summer semester 2024

problems of data collection in sustainability controlling. The thesis was written in collaboration with the waste management company Remondis SE. Specifically, Ms Wolbeck tracked vehicle data in real time [...] deals with the audit of the materiality analysis in the sense of the ‘European Sustainability Reporting Standards’ and shows that the audit of the materiality analysis will remain a dynamic and very relevant [...] possible challenges with regard to poor data quality and documentation, the auditor should ideally be involved in the preparation of the materiality analysis in order to gain an understanding of the relevant …
1. APP
2. News: 6/29/2023
Neutrinos from the Milky Way

physicist and data science expert at TU Dortmund University. "Neural networks, once trained, have a comparatively short and, above all, stable runtime and can therefore be used in the analysis at an early [...] times more neutrinos with an angular resolution improved by a factor of two in our final data set. For the analysis, this means that we are about three times more sensitive," said Mirco Hünnefeld, a doctoral [...] gave us an analysis with really impressive precision." All these successes are not yet sufficient for an observation of neutrinos from the Milky Way. The majority of the events in the final data set (about …
1. Anglistik
2. Students
3. Courses
4. Archive
5. English Linguistics
6. 2nd Phase of Studies
7. Old Classes
Statistics meets Linguistics

any kind of data analysis. On the one hand, it is a means of describing data samples (descriptive statistics). On the other hand, statistical approaches allow for generalizations from a data sample to the [...] ons are needed to determine whether the results we draw from our data sample have general value, e.g. for subjects not part of the data sample but part of the population we investigate (e.g. all speakers [...] many daily situations and tasks), statistical approaches have become an indispensable element of analysis. In this class, we introduce students to both descriptive and inferential statistics. We combine …