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Business and Social Statistics
Department of Statistics
Studenten im Sommer auf dem Campus Nord, rote Zahnräder im Hintergrund © Roland Baege​/​TU Dortmund

Theses

This page lists the current and finished theses at the Chair of Business and Social Statistics.

Finished

Finished Theses at TU Dortmund University

Alexey OmelchenkoSelective Confidence Intervals for Hybrid Tree-Based Regression Model [together with PD Dr. Moritz Berger, ZI Mannheim]Master2026
Carsten StahlRandomization-based inference for stationary random fields: testing equality of spectral densities and testing for isotropyMaster2026
Hien NguyenStructural analysis of the bivariate mixed-VAR(1) processMaster2026
Edwin BarthelSubgraph Counts for Networks with Node FeaturesMaster2025
Christian WurtzStructural Analysis in Matrix-Autoregressive ModelsMaster2025
Las GrönbergStock recommendation using graph neural networks and economy news dataMaster2025
Lennard HeinrigsComparing Claim Reserve Estimation Methods in lnsurance - A Simulation Study [together with Prof. Dr. Markus Pauly]Master2025
Darwin NgouneNichtparametrische Schätzung von Kovarianzmatrizen aus räumlichen DatenMaster2025
Michael SchweitzerOn Robustifications of Portmanteau [together with Prof. Dr. Roland Fried]Master2025
Lukas DienstShort-term electricity price forecasting of continuous intraday trading using distributional neural networksMaster2025
Larissa SanderPrüfung und Anwendung des Small-Area-Verfahrens zur Bestimmung von regionalisierten Armutsmaßen in der amtlichen Statistik am Beispiel NRWs. (Supervision at TU Dortmund University: Josef Schäfer, Supervision at IT.NRW: Dr. Johannes Rohde)Master2024
Rohan Kumar NayakExploration of unsupervised language-style transfer (ULST) methodsMaster2024
Darya LukashinaModellierung der Zielgruppe und Beliebtheit in Deutschland veröffentlichter Manga — Vergleich von Modellen auch mithilfe von TextdatenanalyseBachelor2024
Mariia HrechynData preparation & training of LLMs in e-commerce settingsMaster2024
Niklas HerzogDie Zukunft des Sportjournalismus: Einsatz von Sprachmodellen zur Erstellung von SpielberichtenMaster2024
Veronika TsishetskaChatGPT as a negotiator: Analyzing its adherence to principles of proportionality and equalityMaster2024
Muhammad Mahir Hasan ChowdhuryAttaching PET (-like) models to RELATIO to find causal relationships between narrativesMaster2024
Miguel Tedjouka KankeuJoint autoregressive modeling of real-valued and integer-valued time series dataMaster2024
Marlies HaferWeighted bootstrap consistency for matching estimators: detecting misspecification of the bias-correctionMaster2024
Aymane HachchamDiachronic Sense Modelling with Hierarchical Word EmbeddingsMaster2024
Imene KolliSemantic shift modelling using graph neural networksMaster2024
Lars WilmesGraphon EstimationMaster2023
Jorge Alejandro Colin PaezComparing VAR-Based Forecasting Approaches in the Presence of Exogenous ShocksBachelor2023
Christopher GerlachLasso and Fusion Penalization for periodic SVARsMaster2023
Priyanka MadirajuComparison of Diachronic Embeddings with Pre-trained Model Embeddings for Historical TextsMaster2023
Jannik BloßComparison of Active Learning techniques for the benefit of data set generation in the field of text miningBachelor2023
Daniel SchürmannAn analysis of municipal vehicle data using classification methods and kernel density estimation
[together with Diana Andrä, City of Dortmund, Dortmunder Statistik]		Master2023
Fabian BlunckPrediction Intervals for Generalized Random Forests
[together with Prof. Dr. Christoph Hanck, UDE, Award for outstanding thesis (Master Degree), Alumni-Verein Dort­mun­der Statistikerinnen und Statistiker]		Master2022
Cabrel TeguenmeAR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction
[together with Prof. Dr. Markus Pauly]		Master2022
Aylin GironaBootstrapping für Propensity Score MatchingBachelor2022
Yulia ShrubTest data-based nowcasting of German GDP growth using newspaper dataMaster2022
Dmitri ArtjuchPrediction in Modern Distribution Grids with Renewable EnergyMaster2022
Kai-Robin LangeResampling strategies for unsupervised sentiment analysis using lexicon-based text embedding methodsMaster2021
Daniel DzikowskiPeriodic structural VAR analysisMaster2021
Sven ZieglerPrediction intervals for time series – a comparison of model-based and statistical learning techniques
[together with Prof. Dr. Markus Pauly]		Master2021
Erik WeberParametrisierung einer Versicherungssparte für ein internes Risikomodell am Bei­spiel der kraftfahrt-Haftpflicht-Sparte des Continentale-VersicherungverbundsBachelor2021
Taha AbdolkarimiVorhersage von Aktienmärkten - ein Vergleich von Zeitreihen- und KünstlicheIntelligenz (KI)-Me­tho­den
[together with Prof. Dr. Markus Pauly]		Master2021
Axel PreisUn­ter­su­chung von Bootstrap-Ver­fah­ren für QuantilsautoregressionenMaster2020
Maxime FaymonvilleBootstrap-based prediction for INAR processesMaster2020
Carolin WäscherUn­ter­su­chung schwacher Instrumente bei linearer Regression mit InstrumentalvariablenBachelor2020
Marlies HaferVergleich von Bias-korrigierten Matching-Schätzern für den Average Treatment EffectBachelor2020
Raphael MeixnerComparing penalisation approaches for high-dimensional ARCH processesMaster2020
Philipp StockhausVergleich der Zu­ver­läs­sig­keit von Ver­fah­ren zur künstlichen Kontrollgruppenbildung mittels KrankenkassendatenMaster2020
Guy Merlin TchamegniBudget Stress Test, credit Risk Roll Rate Modelling and ProjectionMaster2019
Barbara BruneOn Subgraph Counts and Goodness-Of-Fit Testing for Stochastic Network Models
[Preis für heraus­ra­gen­de Ab­schluss­ar­beit (Abschlussart Master), Alumni-Verein Dort­mun­der Statistikerinnen und Statistiker]		Master2019
An Viet NguyenModellierung und Pro­gno­se der Bundestagswahlen mit Hilfe von VAR-Mo­del­len kompositioneller DatenBachelor2019
Fabian ErdmannMixed-Frequency Analyse makroökonomischer Daten mittels MIDASBachelor2019
Daniel DzikowskiVolatilitätsanalyse von Log-Renditen mittels multivariater GARCHBachelor2019
Johannes-Markus YarBewertung von Modellrisiken durch Challengermodelle und –analysen - Conditional Inference Tree und Random Forest als Al­ter­na­ti­ve zum klassischen RatingverfahrenMaster2018
Philipp HallmeierSpektraldichteschätzung mittels bootstrapbasiertem Thresholding der FourierkoeffizientenMaster2018

Mannheim (until 02/2018)

Finished Theses at the University of Mannheim

Tobias Krabel Residual Value Forecasting Using Tree-based Ensemble Methods: an Application to the Automobile Industry Master 2018
Shaikh Tanvir Hossain Lasso & Vector Autoregressive Models - with Applications to Dynamic Stochastic Networks Master 2017
Marius Barckmann On Ger­ma­ny's Intraday Power Market: Forecasting and Price Path Si­mu­la­tion Master 2017
Felix Prenzel A comparison of different asymmetric GARCH models for financial data Bachelor 2017
Richard Grandpierre Interest Revenue Forecasts for German Banks. A Dynamic Regression Tree Approach Master 2016
Julia Steinmetz On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms Bachelor 2016
Lukas Müller Backtesting and Risk Measures Bachelor 2016
Florian Böser Discrete Time Series Models and their Applications to Networks Master 2015
Florian Böser Asymptotics of empirical autocovariances and autocorrelations in weakly linear models Bachelor 2013