Professuren für Statistik und Ökonometrie

Betreute Masterarbeiten (als Erst- und Zweitbetreuer):

  1. Marei Freitag: Large-Scale Nuclei Reconstruction in a Fruit-Fly Larva to Map Neural Pathways from Brain to Body
  2. Joel Beck: Bridging Citation Analysis and Language Models: A Hybrid Recommender System for Computer Science
  3. 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
  4. Valentin Hassler: Integrating segmentation into multiple object tracking
  5. Miriam Maurer: Preoperative Differentiation of Glioblastoma and Lymphoma using Deep Learning
  6. Ivan Zhelyazkov: Predicting Stock Market Movements Using Transformer-based Sentiment Analysis and Topic Modeling of Social Media Content
  7. Matthias Herp: Extending Multivariate Conditional Transformations with Spline-Based Normalizing Flows and Graph Theory
  8. Karen Wolf: Detection of Field Effects for Quality Control of Field Trials in Plant Breeding
  9. Manuel Goldkuhle: Synthesis of a Genetically Dysmorphic Portrait
  10. Markus Heidenreich: Trustworthiness of explainable artificial intelligence models
  11. Maria Claire Reiß: Statistical and Deep Learning Frameworks for Prediction: An Application with German Football and Weather Data
  12. Nicolai Bäuerle: Optimierung des individuellen thermischen Komforts im Fahrzeuginnenraum mithilfe von Deep Reinforcement Learning
  13. Jonathan Henrich: Identifying individual trees in forest point clouds using supervised instance segmentation
  14. Sören Fitjer: Erzeugung tabellarischer, synthetischer Daten mit Anwendung auf Machine Learning Prozessen
  15. Jan van Delden: Self-supervised Learning on 3D Forest Data with Masked Autoencoders
  16. Nils Paul Muttray: Cross Species Zero-Shot Celltype Classifcation Using Single-Cell RNA Data
  17. Jan Farchmin: TensorFlow Splines: Fitting Non-linear Smooth Functions with Neural Networks in a Giga Data Application Case Study
  18. Jonathan Mißler: NAMLSS: Neural Additive Models for Location, Scale and Shape
  19. Dominik Becker: Implicit Slice Agnostic Segmentation Model - Lung Segmentation and Implicit Repre-sentation in Continuous 3D Space Using Occupancy Networks
  20. Alisa Rothe: Unsupervised Short Text Classification Using One-Class SVM and Topic Modeling
  21. Friederike Sarah Becker: Analyzing the Influence of Model and Ensemble Structure on Performance of Real-Time COVID-19 Forecasts
  22. Kim Sarah Meier: Trivariate Poverty Assessment - A Poverty Line Based on Income, Leisure and Unpaid Work
  23. Carsten Dolle: Children's Non-Cognitive Skills in Bangladesh - A Spatial Analysis
  24. Henrike Meyer: Generation and Evaluation of Synthetic Tabular Data
  25. Ricardo Rudolph: Statistical Methods and Machine Learning Techniques - A simulation-based comparison
  26. Mattias Luber: Deep Learning Architectures for Semi-Structured Generalized Additive Models
  27. Niklas Lück: Probabilistische graphische Modellierung von räumlich verteilten, hochdimensionalen Daten
  28. Katharina Linke: Generalized Multivariate Stochastic Frontier Models in R
  29. Jan-Henrik Thauer: GAMLSS in Regression Discontinuity Designs: Methods and Applications
  30. Erik Seume: The Impact of Aerosols on the Compressor Efficiency of Aircraft Gas Turbine Engines – A Case Study
  31. Marah-Lisanne Thormann: An Empirical Comparison of Classical Statistical and Machine Learning Techniques for the Probability of Default Estimation
  32. Alexander Ritz: The Modeling of Heavy Tails with Deep Transformation Models
  33. Andreas Buchmüller: Twitmo: An R Package for NLP Applications
  34. Bennet Sohns: Deep Space Image Classification
  35. 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
  36. Alex Kurganski: Classification of Non-Double-Stranded Nucleotides in RNA Using Oxford Nanopore Sequencing
  37. 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
  38. Niklas Hagemann: Functional Random Effects in Multinomial Logit Models: An Application of Semiparametric Regression Models with Tensor Product Interactions
  39. Conny Grunicke: Evaluating Demand Responsive Transport using a Multimodal Traffic Simulation Scenario
  40. Moritz Kersting: Flatten the Curves - Anticipating the Impact of COVID-19 Policy Response Scenarios in Buenos Aires
  41. Lisa Göcking: Development of a Calibration Strategy for the Non-Destructive Testing of Ferromagnetic Metal Components Using Pulsed Eddy Current
  42. Olaf Menssen: Gym Attendance Time Series Forecasting using State-of-the-Art Machine Learning Models and GAMLSS
  43. Philipp Schad: Development of a Software Interface r2ogs5 and Implementation of a Metamodel Based Calibration Workflow for Numerical Process Models
  44. Dragan Kornelius Höhn: Statistical Modeling of Evolving Sustainable Energy in Power Grids Employing a Second-Order Kuramoto-Type Model with Inertia
  45. Jens Lichter: Studying variational inference methods for Bayesian regression models with different effect types
  46. Felix Süttmann: Exploring different selection schemes for partially observed multivariate responses
  47. Brandon Schwab: Umsatzprognosen für die Swiss Life Finanzvertriebe mit Hilfe von Zeitreihenmodellen
  48. Anna Elisabeth Riha: Hyperpriorsensitivity of Bayesian Wrapped Gaussian Processes with an Application to Wind Data
  49. Tim Ruhkopf: Extracting structured effects from Bayesian Neural Nets using shrinkage methods
  50. Zeyu Ding: Variable Importance Measures for Functional Gradient Descent Boosting Algorith
  51. Petros Christanas: Multivariate Modelling of the Dependence Structure between Article Sales of a Sportswear Manufacturer
  52. Lars Reinhold Gerdes: Heterogene Ensemble-Verfahren für Zeitreihenprognosen mit Anwendungen in der Energiebranche
  53. Yao Lu: Applications of Supervised and Unsupervised Machine Learning Methods on Big and High Frequency Power Usage Data for Customer Classification
  54. Niklas Johannes Avermann: An Approach to Statistical Analysis and Machine Learning on Commodity Derivative Time Series
  55. Gabriel Schöller: Optimales Busdienstleistungsangebot in Kigali aus Sicht der Sozialen Wohlfahrt
  56. Nikos Ioannis Bosse: Evaluation and Aggregation of Covid-19 Death Forecasts in the United States
  57. Manuel Kropp: Treiber und Barrieren für das Umweltschutzverhalten in kleinen und mittelständischen Unternehmen
  58. Tim Toebrock: Comparing State-of-the-Art Collaborative Filter Algorithms with Neural Network and Graph-Based Approaches on Sparse E-Commerce Data
  59. Jannik Labrenz: Identification of the Price Determinants in the German Intraday Market for Electricity
  60. Alejandra Garcia Ahumada: Pricing of a DRT System in Goettingen: An Application of Multinomial Logit Models
  61. Yijia Huang: Has Occupation an Effect on Wages: An Empirical Analysis on Gender Differences in Mexico
  62. Christoph Albers: Prognose von individuellen elektrischen Haushaltslasten mittels Verfahren des Maschinellen Lernens
  63. Simone Gerle: Automatische Analyse und Rückmeldung von zeitreihenbezogenen Tagebuchdaten. Entwicklung eines Frameworks auf der Basis von R und formr
  64. Johann Valentin Seebaß: Modelling the Joint Distribution of Wind Speed and Wind Direction Using a Structured Additive Conditional Copula Regression Model
  65. Martin Wuttke: Automatic distinction of behaviour patterns in pigs using anomaly detection techniques with a predictive convolutional network
  66. Philipp Rössy: Impact Assessment of Demand-Responsive Transport (DRT) in the Context of a Regional Center – A Simulation Study
  67. 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
  68. Leif Sörensen: Demand Responsive Transport in a Rural Region - Empirical Analysis of Customer Acceptance from a Real-Life Experiment in Central Germany
  69. Clemens Michael Haerder: Bayesian Sparse Supervised Learning: Identify Root Causes of Non-Conformances in a Pharmaceutical Syringe Filling Process
  70. Patrick Neff: Statistical Models for IOT Data from Food Processing using Machine Learning Algorithms
  71. Henning Kosmalla: Dynamic Predictive Behaviour of Live Sports Betting Providers
  72. Fabian Hölscher: Machine Learning Techniques for Binary Classification of Highly Imbalanced Data
  73. Franziska Tönsing: Modelling Laser Welding Process Data Using Hierarchical Interactions LASSO and Artificial Neural Networks
  74. Sebastian Frederik Lehmann: Investigation of the Effect of Non-Compliance Regarding the Minimum Storage Time of Specific Tire Components on Tire Production
  75. Hendryke Sophie Scholl: Estimation of Unconditional Distributional Effects in Generalized Additive Models for Location, Scale and Shape
  76. Nicolai Hans: Tuning Boosted GAMLSS Using Random Probes
  77. René-Marcel Kruse: Implementation of Conditional Model Averaging for Mixed Models
  78. Marie Harbering: Determinants of Transport Mode Choice in Metropolitan Areas: The Case of the Metropolitan Are of the Valley of Mexico
  79. Kai Sebastian Schneider: Exploring the Relationship between Mental Health and Income. An Empirical Analysis using Generalised Additive Models for Location, Scale and Shape
  80. Jan Eilers: Pattern Recognition in Vehicle Data Using Classification and Clustering Methods: A Comparative Study of Clustering High-Dimensional Mixed-Type Data
  81. Drini Morina: A Comparison of Alternatives to P-values
  82. Jens Harbers: Explorative Datenanalyse einer Beweidungsstudie einer Fleckviehkuhherde
  83. Lukas Knierim: Mobilitätsuntersuchung begleitend zur Implementierung eines DRT-Systems im ländlichen Raum
  84. Kai Husmann: Development of a Binomial Response Estimator for Bitterlich Sampling
  85. Thomas Friesen: A Small Area Approach for Forest Inventory using LiDAR
  86. Lukas Herrmann: Machine Learning for Designing Parametric Insurance: An Algorithmic Approach
  87. Jenny Kuchenbecker: Comparing Performance of Kernel-based Association Tests for Polygenic Traits Using Continuous Data and Binary Re-Classification
  88. Andreas Bossert: Einführung eines nachfrageorientierten Transportsystems in ländlichen Räumen ind Deutschland
  89. Victor Kremer: Eine empirische Analyse von Finanzzeitreihen mithilfe von Hidden Markov Modellen
  90. Aisouda Hoshiyar: Challenging the commonly used log-link in statistical models for count data with an application to infectious disease data
  91. Manuel Frewer: Demand Responsive Transport in South Africa - A Stochastic Prediction of Minibus Taxi Driver Behaviour
  92. Maike Greve: Industry Analytics: A Deep Learning Approach for Error Prediction in the Context of Industry 4.0
  93. Larissa Klick: Identifying Risk and Modelling Insurance Claims - A Statistical-Actuarial Approach Based on Generalized Additive Models for Location, Scale and Shape
  94. Barbara Hinrichs: Is there a Need for the Public Sector to Intervene in the Charging Infrastructure Extension for Electric Vehicles in Germany?
  95. Stefanie Enders: Analysis of the Implementation of Innovative Mobility Concepts in the Rural Areas of Germany
  96. Rouven Schmidt: Smooth-Transition GAMLSS as an Alternative to Markov-Switching-GAMLSS
  97. Clara Schartner: Gaining efficiency in monitoring rare deforestation events by integrating auxiliary data into the sampling design
  98. Sebastian Schoneberg: An Autoregressive Generalized Additive Models for Analyzing Single Tree Mortality
  99. Anne Berner: Impact Analysis of Soft Transport Policy Using State Space Models: Smog Alert in Stuttgart
  100. Guillermo Briseno Sanchez: Flexible Instrumental Variables Distributional Regression: A Simulation and Empirical Study
  101. Stanislaus Stadlmann: bamlss.vis: An R Package to Interactively Visualize Bayesian Additive Models for Location, Scale and Shape (BAMLSS) Using the Shiny Framework
  102. Hannes Riebl: Multivariate Quantile Residuals in Copula Regression: Model Evaluation and Selection
  103. Aaron Frölich: What are the Determinants of Financial Operational Losses? A GAMLSS Approach Applied on a Novel Database
  104. Jana Emmenegger: Interrelated Dynamics of Poverty and Health in Thailand
  105. André Bleier: Forecast and Variable Selection with Gradient Descent Boosting: An Application to Dynamic Pricing
  106. Benedict Hartmann: Access to Mobility and Human Development in Complex Regions - A Case Study of the Minibus Taxi Industry in South Africa
  107. Zhiting Li: Statistical Analysis of Health Inequalities in Germany
  108. Manuel Carlan: Bayesian Variable Selection Priors in Semiparametric Regression
  109. Franziska Dorn: The Impact of Reproductive Work on Wages and Employment Status in Mexico: An Empirical Analysis using Generalised Linear Models
  110. Anastasia Gorbunova: Statistische Analyse von Energieprofilen mittels Bayesianischer Regression
  111. Paul Wiemann: Statistische Modelle der Ratschlagsgewichtung
  112. Manuel Vonrüti: Referenzwerte für einen neuen Ansatz von Spike und Slab Prioris zur Funktionsselektion
  113. Xuan Wang: Statistische Methoden im Churn Management
  114. Maike Tahden: Ökologische Regression zur Bestimmung sozio-ökonomischer Assoziationen der EHEC-Ausbreitung
  115. Hauke Rennies: Schätzung technischer Effizienzen mit Hilfe der Quantilregression
  116. Lene Raap: Schätzung des Value at Risk mit Hilfe der Quantil- und Expektilregression
  117. Benjamin Säfken: Semiparametrische Regressionsmodelle in der Versorgungsplanung
  118. Julia Furche: Kategoriale Regressionsmodelle zur Analyse neuronaler Daten
  119. Daniela Rieck: Mehrfaktorielle nicht-parametrische Varianzanalyse kosmetischer Wirksamkeitsstudien
  120. Lena Köpcke: Bayesianische Stimulus-Rekonstruktion für neuronale Daten