More details follow in the first session (22.10.2024), where no Tutorial takes place.
Master Theses
We offer Master theses at the intersection of statistics and machine learning.
Please see below for titles of available theses in these areas.
If you are interested in one of these projects and fulfill the requirements laid out in our thesis guidelines, please contact us for more details.
Understanding And Implementing Predictive Information Criteria For Bayesian Models, Contact Person: tbd.
Asymptotic Behaviour Of The Posterior In Overfitted (Deep) Mixture Models, Contact Person: tbd.
A Scalable Joint Model Of Longitudinal And Survival Data With Long-Term Survivors, Contact Person: Victor Medina Olivares
Leverage Generative Models To Improve Performance In Unbalanced Tabular Settings, Contact Person: Victor Medina Olivares
Exact Likelihood Inference In Joint Modelling Settings, Contact Person: Victor Medina Olivares
Targeted Sampling Based On Epistemic Uncertainty For Improving Predictive Performance Of DL Tasks In The Case Of Costly Data Acquisition, Contact Person: Clara Hoffmann
Uncertainty Quantification For Complex-Valued Deep Neural Networks, Contact Person: Clara Hoffmann
Improved Variational Approximations, Contact Person: Nadja Klein
Non-Gaussian Regression Copulas, Contact Person: Nadja Klein
Variational Inference for Distributional Regression, Contact Person: Nadja Klein
A selection of completed theses at the chair can be found below.
Master Theses
Analyzing Heat and Experienced Racial Segregation using Large-Scale Foot Traffic Data
A Python Implementation for the Structural Topic Model
Optimierung der Kraftwerkssteuerung mittel Reinforcement Learning unter Einsatz von kurzfristigen Ausgleichsenergiepreiseprognosen
Including Deep Neural Network Architectures into Multistage Intensity Models: An Application to Credit Risks
MultiFlags and LatentFlags: A Probabilistic Framework for Size Advice in Fashion E-Commerce
Interpretable Modelling of ICU Patients Remaining Length-of-Stay Distribution using Tabular Patient Data, Clinical Notes and Irregularly Spaced Clinical Measurements
Using Variational Inference to Estimate Structred Additive Distributional Regression Models
Elastic Full Procluster Means for Sparse and Irregular Curves
Reconstructing Multivariate Functional Data with Medical Applications
Investment Constraints in Southern Europe: A Spatial Econometric Analysis of World Bank Enterprise Surveys
Bachelor Theses
Application of Regression Trees on Compositional Data Using European Parliament Election Results
Die Modellierung der COVID-19 Fallzahlen in Abhängigkeit von Strukturdaten zu Wetter und Bevölkerung in Berlin
Vergleich von Vorhersagemodellen zu Stornierungen von Hotelbuchungen