(Please see LSF for the Moodle password) Lecture: Thursdays 14:00 - 16:00 (CDI/ZHB 120) Exercise: Tuesdays 10:00 - 12:00 (CDI/ZHB 120) More details in first session (06.04.2023)
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: Paul Bach
Asymptotic Behaviour Of The Posterior In Overfitted (Deep) Mixture Models, Contact Person: Lucas Kock
Posterior Concentration Rates For Bayesian High-Dimensional Sparse Additive Models, Contact Person: Paul Bach
Using Posterior Predictive Checks With Semistructured Deep Distributional Regression, Contact Person: Victor Medina Olivares
Efficient Estimation Of Distributional Regression Models Using Hmc Based On Normalizing Flows, Contact Person: Ivan Ustyuzhaninov
Predicting Revenue Streams Of Small And Medium-Sized Enterprises, Contact Person: Nadja Klein
Standard Errors Of Variational Inference, Contact Person: Ivan Ustyuzhaninov
Uncertainty Quantification For Deep Learning, Contact Person: Lucas Kock
Deep Gaussian Process Modelling, Contact Person: Nadja Klein
Using Stacking To Average Distributional Regression Models, Contact Person: Nadja Klein
Bayesian Nonparametric Conditional Density Estimators, Contact Person: Ivan Ustyuzhaninov
Distributional Joint Modelling, Contact Person: Victor Medina Olivares
Approximations Of Normalizing Constants In Doubly-Intractable Likelihoods, Contact Person: Nadja Klein
Measuring The Explained Variance In Structured Additive Distributional Regression, Contact Person: Nadja Klein
Comparisons And Implementation Of Non-Local Shrinkage Priors, Contact Person: Paul Bach
A Scalable Joint Model Of Longitudinal And Survival Data With A Time-Varying Association, Contact Person: Victor Medina Olivares
A Unified Deep-Cure Model Approach, Contact Person: Victor Medina Olivares
Admissible Learning Algorithms, Contact Person: Victor Medina Olivares
Fast Expectation Maximization Algorithm For Spatial Promotion Time Cure Models, Contact Person: Victor Medina Olivares
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