Betreute Masterarbeiten (als Erst- und Zweitbetreuer):
- Nils Wüstefeld: Trambular – A Hybrid Mamba-Transformer Model for Efficient Tabular Deep Learning
- Marc Saalfrank: Stochastic Variational Inference for DAG-based Models in Liesel
- Marcel Gaweda: Bayesian Structured Additive Distributional Regression for Extreme Value Data Using Stochastic Variational Inference
- Marike Sarnighausen: Advice Taking in Judge-Advisor Systems with Multiple Advisors: A Constellation-Based Mixed-Effects Regression Modeling Approach
- Sönke Hänel: Embeddings of Unbranched Segments of Neuronal Dendrites for Neuron Clustering
- Jasmin Schilling: Unsicherheiten bei der Bestimmung von Emissionen im Pendelverkehr und interaktive Visualisierung von Umfragedaten
- Max Gwenuch: What Impact Does Big Tech Funding Have on AI Research? A Scholarly Document Analysis
- Lukas Ludwig: Deriving foundations and algorithms to conformalize Generalized Additive Models for Location Scale and Shape, including high dimensional solutions
- Emma Fössing: Does the Synthesis Model Influence the Performance of a Subsequent Prediction of the Same Model Type?
- Anna Bringmann: Adapting Multilingual Semantic Search to the Chemical Process Industry Domain
- Nishtha Agarwal: Time series analysis of driving parameters and their influence on tire wear
- Jasper Behnke: Transformer-basierte dynamische Themenmodellierung von Covid-19-bezogenen Telegram-Nachrichten
- Lucas Mohrhagen: VoxelMorph: Voxel-based Approaches for Neuronal Morphology Learning
- Anna Knabe: Assessing Optimization and Confidence Interval Methods for Distributional Regres-sion in Case of Skewed Response Distributions
- Laura Plodek: Leveraging Mouse Dynamics for Threat Detection
- Stefan Sopala: Learning Predicting tree Growth in Presence of Measurement Errors by Learning Temporal Patterns
- Katharina Schmenn: A Robust Metric for Model Accuracy Estimation
- Beate Ludka: Stornoverhalten von Kundenportfolios in der P&C Versicherung
- Dominik Mann: Toward Robust Hate Speech Detection: Active Learning and the Impact of Data Properties
- Juan Sebastián Aristizábal Ortiz: Learning Regression Models on Aggregated Summary Statistics from Individual Distributed Data: A Literature Review, Reproducibility and Feasibility Evaluation
- Mona Huyen Vu: A Metamodel for Estimating Prediction Intervals in Multi-Criteria Optimization
- Sebastian Lorek: A Stochastic Variational Inference Approach for Semiparametric Distributional Regression
- Johannes Matzenmiller: Care Penalty: Defining Income Inequality in Germany Using Distributional Regression
- Marei Freitag: Large-Scale Nuclei Reconstruction in a Fruit-Fly Larva to Map Neural Pathways from Brain to Body
- Joel Beck: Bridging Citation Analysis and Language Models: A Hybrid Recommender System for Computer Science
- Jinyi Chen: Point Process Model for Spatiotemporal Data: A Case Study on the Spatial Distribu-tion of Sei Whales in the Azores Using the SPDE-INLA Approach
- Valentin Hassler: Integrating segmentation into multiple object tracking
- Miriam Maurer: Preoperative Differentiation of Glioblastoma and Lymphoma using Deep Learning
- Ivan Zhelyazkov: Predicting Stock Market Movements Using Transformer-based Sentiment Analysis and Topic Modeling of Social Media Content
- Matthias Herp: Extending Multivariate Conditional Transformations with Spline-Based Normalizing Flows and Graph Theory
- Karen Wolf: Detection of Field Effects for Quality Control of Field Trials in Plant Breeding
- Manuel Goldkuhle: Synthesis of a Genetically Dysmorphic Portrait
- Markus Heidenreich: Trustworthiness of explainable artificial intelligence models
- Maria Claire Reiß: Statistical and Deep Learning Frameworks for Prediction: An Application with German Football and Weather Data
- Nicolai Bäuerle: Optimierung des individuellen thermischen Komforts im Fahrzeuginnenraum mithilfe von Deep Reinforcement Learning
- Jonathan Henrich: Identifying individual trees in forest point clouds using supervised instance segmentation
- Sören Fitjer: Erzeugung tabellarischer, synthetischer Daten mit Anwendung auf Machine Learning Prozessen
- Jan van Delden: Self-supervised Learning on 3D Forest Data with Masked Autoencoders
- Nils Paul Muttray: Cross Species Zero-Shot Celltype Classifcation Using Single-Cell RNA Data
- Jan Farchmin: TensorFlow Splines: Fitting Non-linear Smooth Functions with Neural Networks in a Giga Data Application Case Study
- Jonathan Mißler: NAMLSS: Neural Additive Models for Location, Scale and Shape
- Dominik Becker: Implicit Slice Agnostic Segmentation Model - Lung Segmentation and Implicit Repre-sentation in Continuous 3D Space Using Occupancy Networks
- Alisa Rothe: Unsupervised Short Text Classification Using One-Class SVM and Topic Modeling
- Friederike Sarah Becker: Analyzing the Influence of Model and Ensemble Structure on Performance of Real-Time COVID-19 Forecasts
- Kim Sarah Meier: Trivariate Poverty Assessment - A Poverty Line Based on Income, Leisure and Unpaid Work
- Carsten Dolle: Children's Non-Cognitive Skills in Bangladesh - A Spatial Analysis
- Henrike Meyer: Generation and Evaluation of Synthetic Tabular Data
- Ricardo Rudolph: Statistical Methods and Machine Learning Techniques - A simulation-based comparison
- Mattias Luber: Deep Learning Architectures for Semi-Structured Generalized Additive Models
- Niklas Lück: Probabilistische graphische Modellierung von räumlich verteilten, hochdimensionalen Daten
- Katharina Linke: Generalized Multivariate Stochastic Frontier Models in R
- Jan-Henrik Thauer: GAMLSS in Regression Discontinuity Designs: Methods and Applications
- Erik Seume: The Impact of Aerosols on the Compressor Efficiency of Aircraft Gas Turbine Engines – A Case Study
- Marah-Lisanne Thormann: An Empirical Comparison of Classical Statistical and Machine Learning Techniques for the Probability of Default Estimation
- Alexander Ritz: The Modeling of Heavy Tails with Deep Transformation Models
- Andreas Buchmüller: Twitmo: An R Package for NLP Applications
- Bennet Sohns: Deep Space Image Classification
- Tabea Hüllen: A Flash in the Pan? Exploring the Effects of the COVID-19 Pandemic on the 2020 CO2 Emissions in Germany with ARDL Modeling
- Alex Kurganski: Classification of Non-Double-Stranded Nucleotides in RNA Using Oxford Nanopore Sequencing
- Michael Kumar Jayalath: The Influence of Environmental Policies on the Traffic Mode Choice Elasticity in an Agent-Based Traffic Simulation in the Metropolitan Region of Buenos Aires
- Niklas Hagemann: Functional Random Effects in Multinomial Logit Models: An Application of Semiparametric Regression Models with Tensor Product Interactions
- Conny Grunicke: Evaluating Demand Responsive Transport using a Multimodal Traffic Simulation Scenario
- Moritz Kersting: Flatten the Curves - Anticipating the Impact of COVID-19 Policy Response Scenarios in Buenos Aires
- Lisa Göcking: Development of a Calibration Strategy for the Non-Destructive Testing of Ferromagnetic Metal Components Using Pulsed Eddy Current
- Olaf Menssen: Gym Attendance Time Series Forecasting using State-of-the-Art Machine Learning Models and GAMLSS
- Philipp Schad: Development of a Software Interface r2ogs5 and Implementation of a Metamodel Based Calibration Workflow for Numerical Process Models
- Dragan Kornelius Höhn: Statistical Modeling of Evolving Sustainable Energy in Power Grids Employing a Second-Order Kuramoto-Type Model with Inertia
- Jens Lichter: Studying variational inference methods for Bayesian regression models with different effect types
- Felix Süttmann: Exploring different selection schemes for partially observed multivariate responses
- Brandon Schwab: Umsatzprognosen für die Swiss Life Finanzvertriebe mit Hilfe von Zeitreihenmodellen
- Anna Elisabeth Riha: Hyperpriorsensitivity of Bayesian Wrapped Gaussian Processes with an Application to Wind Data
- Tim Ruhkopf: Extracting structured effects from Bayesian Neural Nets using shrinkage methods
- Zeyu Ding: Variable Importance Measures for Functional Gradient Descent Boosting Algorith
- Petros Christanas: Multivariate Modelling of the Dependence Structure between Article Sales of a Sportswear Manufacturer
- Lars Reinhold Gerdes: Heterogene Ensemble-Verfahren für Zeitreihenprognosen mit Anwendungen in der Energiebranche
- Yao Lu: Applications of Supervised and Unsupervised Machine Learning Methods on Big and High Frequency Power Usage Data for Customer Classification
- Niklas Johannes Avermann: An Approach to Statistical Analysis and Machine Learning on Commodity Derivative Time Series
- Gabriel Schöller: Optimales Busdienstleistungsangebot in Kigali aus Sicht der Sozialen Wohlfahrt
- Nikos Ioannis Bosse: Evaluation and Aggregation of Covid-19 Death Forecasts in the United States
- Manuel Kropp: Treiber und Barrieren für das Umweltschutzverhalten in kleinen und mittelständischen Unternehmen
- Tim Toebrock: Comparing State-of-the-Art Collaborative Filter Algorithms with Neural Network and Graph-Based Approaches on Sparse E-Commerce Data
- Jannik Labrenz: Identification of the Price Determinants in the German Intraday Market for Electricity
- Alejandra Garcia Ahumada: Pricing of a DRT System in Goettingen: An Application of Multinomial Logit Models
- Yijia Huang: Has Occupation an Effect on Wages: An Empirical Analysis on Gender Differences in Mexico
- Christoph Albers: Prognose von individuellen elektrischen Haushaltslasten mittels Verfahren des Maschinellen Lernens
- Simone Gerle: Automatische Analyse und Rückmeldung von zeitreihenbezogenen Tagebuchdaten. Entwicklung eines Frameworks auf der Basis von R und formr
- Johann Valentin Seebaß: Modelling the Joint Distribution of Wind Speed and Wind Direction Using a Structured Additive Conditional Copula Regression Model
- Martin Wuttke: Automatic distinction of behaviour patterns in pigs using anomaly detection techniques with a predictive convolutional network
- Philipp Rössy: Impact Assessment of Demand-Responsive Transport (DRT) in the Context of a Regional Center – A Simulation Study
- Michael Schlee: Improving Approaches for Detection and Classification of Breast Cancer Metastases in Hematoxylin and Eosin Stained Lymph Node Whole-Slide-Images within the Scope of the CAMELYON17 Challenge
- Leif Sörensen: Demand Responsive Transport in a Rural Region - Empirical Analysis of Customer Acceptance from a Real-Life Experiment in Central Germany
- Clemens Michael Haerder: Bayesian Sparse Supervised Learning: Identify Root Causes of Non-Conformances in a Pharmaceutical Syringe Filling Process
- Patrick Neff: Statistical Models for IOT Data from Food Processing using Machine Learning Algorithms
- Henning Kosmalla: Dynamic Predictive Behaviour of Live Sports Betting Providers
- Fabian Hölscher: Machine Learning Techniques for Binary Classification of Highly Imbalanced Data
- Franziska Tönsing: Modelling Laser Welding Process Data Using Hierarchical Interactions LASSO and Artificial Neural Networks
- Sebastian Frederik Lehmann: Investigation of the Effect of Non-Compliance Regarding the Minimum Storage Time of Specific Tire Components on Tire Production
- Hendryke Sophie Scholl: Estimation of Unconditional Distributional Effects in Generalized Additive Models for Location, Scale and Shape
- Nicolai Hans: Tuning Boosted GAMLSS Using Random Probes
- René-Marcel Kruse: Implementation of Conditional Model Averaging for Mixed Models
- Marie Harbering: Determinants of Transport Mode Choice in Metropolitan Areas: The Case of the Metropolitan Are of the Valley of Mexico
- Kai Sebastian Schneider: Exploring the Relationship between Mental Health and Income. An Empirical Analysis using Generalised Additive Models for Location, Scale and Shape
- Jan Eilers: Pattern Recognition in Vehicle Data Using Classification and Clustering Methods: A Comparative Study of Clustering High-Dimensional Mixed-Type Data
- Drini Morina: A Comparison of Alternatives to P-values
- Jens Harbers: Explorative Datenanalyse einer Beweidungsstudie einer Fleckviehkuhherde
- Lukas Knierim: Mobilitätsuntersuchung begleitend zur Implementierung eines DRT-Systems im ländlichen Raum
- Kai Husmann: Development of a Binomial Response Estimator for Bitterlich Sampling
- Thomas Friesen: A Small Area Approach for Forest Inventory using LiDAR
- Lukas Herrmann: Machine Learning for Designing Parametric Insurance: An Algorithmic Approach
- Jenny Kuchenbecker: Comparing Performance of Kernel-based Association Tests for Polygenic Traits Using Continuous Data and Binary Re-Classification
- Andreas Bossert: Einführung eines nachfrageorientierten Transportsystems in ländlichen Räumen ind Deutschland
- Victor Kremer: Eine empirische Analyse von Finanzzeitreihen mithilfe von Hidden Markov Modellen
- Aisouda Hoshiyar: Challenging the commonly used log-link in statistical models for count data with an application to infectious disease data
- Manuel Frewer: Demand Responsive Transport in South Africa - A Stochastic Prediction of Minibus Taxi Driver Behaviour
- Maike Greve: Industry Analytics: A Deep Learning Approach for Error Prediction in the Context of Industry 4.0
- Larissa Klick: Identifying Risk and Modelling Insurance Claims - A Statistical-Actuarial Approach Based on Generalized Additive Models for Location, Scale and Shape
- Barbara Hinrichs: Is there a Need for the Public Sector to Intervene in the Charging Infrastructure Extension for Electric Vehicles in Germany?
- Stefanie Enders: Analysis of the Implementation of Innovative Mobility Concepts in the Rural Areas of Germany
- Rouven Schmidt: Smooth-Transition GAMLSS as an Alternative to Markov-Switching-GAMLSS
- Clara Schartner: Gaining efficiency in monitoring rare deforestation events by integrating auxiliary data into the sampling design
- Sebastian Schoneberg: An Autoregressive Generalized Additive Models for Analyzing Single Tree Mortality
- Anne Berner: Impact Analysis of Soft Transport Policy Using State Space Models: Smog Alert in Stuttgart
- Guillermo Briseno Sanchez: Flexible Instrumental Variables Distributional Regression: A Simulation and Empirical Study
- Stanislaus Stadlmann: bamlss.vis: An R Package to Interactively Visualize Bayesian Additive Models for Location, Scale and Shape (BAMLSS) Using the Shiny Framework
- Hannes Riebl: Multivariate Quantile Residuals in Copula Regression: Model Evaluation and Selection
- Aaron Frölich: What are the Determinants of Financial Operational Losses? A GAMLSS Approach Applied on a Novel Database
- Jana Emmenegger: Interrelated Dynamics of Poverty and Health in Thailand
- André Bleier: Forecast and Variable Selection with Gradient Descent Boosting: An Application to Dynamic Pricing
- Benedict Hartmann: Access to Mobility and Human Development in Complex Regions - A Case Study of the Minibus Taxi Industry in South Africa
- Zhiting Li: Statistical Analysis of Health Inequalities in Germany
- Manuel Carlan: Bayesian Variable Selection Priors in Semiparametric Regression
- Franziska Dorn: The Impact of Reproductive Work on Wages and Employment Status in Mexico: An Empirical Analysis using Generalised Linear Models
- Anastasia Gorbunova: Statistische Analyse von Energieprofilen mittels Bayesianischer Regression
- Paul Wiemann: Statistische Modelle der Ratschlagsgewichtung
- Manuel Vonrüti: Referenzwerte für einen neuen Ansatz von Spike und Slab Prioris zur Funktionsselektion
- Xuan Wang: Statistische Methoden im Churn Management
- Maike Tahden: Ökologische Regression zur Bestimmung sozio-ökonomischer Assoziationen der EHEC-Ausbreitung
- Hauke Rennies: Schätzung technischer Effizienzen mit Hilfe der Quantilregression
- Lene Raap: Schätzung des Value at Risk mit Hilfe der Quantil- und Expektilregression
- Benjamin Säfken: Semiparametrische Regressionsmodelle in der Versorgungsplanung
- Julia Furche: Kategoriale Regressionsmodelle zur Analyse neuronaler Daten
- Daniela Rieck: Mehrfaktorielle nicht-parametrische Varianzanalyse kosmetischer Wirksamkeitsstudien
- Lena Köpcke: Bayesianische Stimulus-Rekonstruktion für neuronale Daten