Chair of Statistics - Final theses
If you are interested in writing your thesis at the Chair of Statistics, please contact us for more details.
Useful links:
- Guidelines for Master- and Bachelor thesis (Chair)
- Leitfaden zum wiss. Arbeiten (Faculty)
- Richlinien für den edoc-Server
- Embedding fonts into a PDF document
Student theses:
Author | Title | Supervisor |
---|---|---|
2024 |
||
Maarten Jung |
Semi-structured Conditional Density Regression for Individual-level Data |
Sonja Greven |
Hila Zazai |
Sigbert Klinke | |
Raphael Franke |
Probabilistic Forecasting of PM10 Concentrations using Transformation Tree Models and Comparison with Existing Point Forecasts |
Sonja Greven |
Qingzi Huo |
An Extension of the Generalized Covariance Measure for Conditional Independence Testing |
Sonja Greven |
Nils Cabos |
Analyse der Wahrnehmung von Oberstufenzentren: Eine Untersuchung zu Merkmalen des Unterrichts und deren Zusammenhang mit dem Engagement und Lernzuwachs der Schüler |
Sigbert Klinke |
Maria Karimi |
Evaluationsdaten von einem Gymnasium: Eine Analyse der Wahrnehmung von Lehrenden und Schüler:innen |
Sigbert Klinke |
2023
|
|
|
Chenyin Zhao |
Comparison of Covariance Estimation Methods for Sparse Functional Data |
Sonja Greven |
Johannes Brandau |
Invariant Feature Learning via Orthogonalization |
Sonja Greven |
Vincent Karpf |
The Necessity of Complex Data: Object Importance by Removing for High-Dimensional Structured Objects |
Sonja Greven |
David Frohnau |
Using Diffusion Models to Create Training Data for Image Classification Algorithms |
Sonja Greven |
Ana Karina Enriquez de los Rios |
Functional Spatial Correlation Analysis on Crime Data of Mexico City |
Sonja Greven |
Maximilian Hildebrand |
Blood Glucose Forecasting |
Nadja Klein |
Stanislav Slowinski |
Sonja Greven | |
Till Bethge |
Bayesian Variable Selection for Ordinal Regression with an Application to Gene Expression Data |
Nadja Klein |
Johannes Feeser |
Sonja Greven | |
Johannes Abele |
Modelling Disease Severity using Semi- and Weakly Supervised Variational Autoencoders |
Nadja Klein |
Wei Ji Tan |
Using the Horseshoe Prior for the Estimation of Non-linear Functions |
Nadja Klein |
Benedikt Lütke-Schwienhorst |
Dropout Regularization in Generalized Linear Models Based on Double Exponential Families |
Nadja Klein |
2022 |
|
|
Till Baldenius |
Analysing Heat and Experienced Racial Segregation Using Large-Scale Foot Traffic Data |
Nadja Klein |
Ákos Blaskovics |
Application of Regression Trees on Compositional Data Using European Parliament Election Results |
Sonja Greven |
Julian Schneider | Extension of Treatment Effect Analysis to Dynamic Networks: An Application to PrEP in the context of HIV Transmission | Sonja Greven |
Friedemann Brockmeyer | Summary Characteristics for Real-valued Marked Point Patterns on Linear Networks | Sonja Greven |
Marco Simnacher |
Sonja Greven | |
Katja Weimer |
Inference for Density-on-Scalar Regression in Bayes Hilbert Spaces |
Sonja Greven |
Henry Böddeker |
Sizing Flags: Multi-Class Size Recommnedations for Fashion E-Commerce |
Nadja Klein |
Lucrece Mefowe Fokam |
Correcting Underreporting in German Covid-19 Data |
Sonja Greven |
Felix Germaine |
Interpretable Modelling of ICU Patients Remaining Length-of-Stay Distribution using Tabular Patient Data, Clinical Notes and Irregularly Spaced Clinical Measurement |
Nadja Klein |
2021 |
|
|
Bianca Neubert | Sonja Greven | |
Julius Freidank |
Vergleich von Vorhersagemodellen zu Stornierungen von Hotelbuchungen |
Sonja Greven |
Jana Kleinemeier | Using Variational Inference to Estimate Structred Additive Distributional Regression Models | Nadja Klein |
Anna Semenova | Reconstructing Multivariate Functional Data with Medical Applications | Sonja Greven |
Manuel Pfeuffer | Elastic Full Procrustes Means for Sparse and Irregular Curves | Sonja Greven |
Gesa Julia Kröger |
Sonja Greven | |
Rodrigo Vazquez | Anomaly Data Quality Detection using Deep Autoencoders | Nadja Klein |
Jost von Petersdorff-Campen | Copula Regression for Discrete Data – An Application to Covid-19 | Nadja Klein |
Yuliya Vandysheva | Die Modellierung der COVID-19-Fallzahlen in Abhängigkeit von Strukturdaten zu Wetter und Bevölkerung in Berlin | Nadja Klein |
Chris Kolb | Application of Deep Distributional Regression to the Geospatial Distribution of Neglected Tropical Disease Vectors | Nadja Klein |
Per Joachims | Uncertainty Quantification with Bayesian Neural Networks | Nadja Klein |
Malgorzata Olesiewicz | Modelling of Missing not at Random Corporate Emissions Data for Sustainable Investment | Sonja Greven |
Clara Hoffmann | Marginally Calibrated Posterior Densities for End-to-End Learning in Autonomous Driving | Nadja Klein |
Michael Schimpke | Sentiment-Optimised Translation: An Approach for Multilingual Sealing of Pre-Trained Sentiment Classifiers | Nadja Klein |
Jakub Kondek | Classification of Empathic and Non-Empathic Emails using Prototypical Networks | Nadja Klein |
Silvia Ventoruzzo | On the Role of Weather in Predicting Online Sales of Different Product Categories | Nadja Klein |
Safiul Alom | Uncertainty in Machine-Learning-based E-Mail Classification for Improved Customer Service | Nadja Klein |
Lukas Mödl | The RODEO Approach for Nonparametric Density Estimation | Nadja Klein |
2020 | ||
Anna Elisabeth Riha | Hyperpriorsensitivity of Bayesian Wrapped Gaussian Processes with an Application to Wind Data | Nadja Klein |
Aaron Burgemeister | Benchmarking Different Machine Learning Methods Against Logistic Regression in Credit Scoring | Sonja Greven |
Xiaoji Du | Analysis of a Restaurant Database of 31 European Cities | Sonja Greven |
Jil Kollmus-Heege |
Dynamic Prediction in Flexible Bayesian Additive Joint Models |
Sonja Greven |
Sisi Huang | An Image Classification Tool of Wikimedia Commons | Sonja Greven |
Thomas Siskos | Career Recommendations using Supervised Latent Dirichlet Allocation | Sonja Greven |
Kang Yang | Deep Generalised Additive Regression Models for Location, Scale and Shape | Nadja Klein |
Paulina Kurowska | Bayesian Variable Selection Approach in Additive Quantile Regression | Nadja Klein |
2019 | ||
Yinan Wu | Bayesian Adaptive Lasso for Zero Inflated Count Model and Overdispersion | Nadja Klein |
Jerome Bau | Context-aware Sentence Generation from Keywords | Nadja Klein |
Lukas Kemkes | Comparison and Combination of Extractive and Abstractive Techniques for Machine Text Summarization | Nadja Klein |
Andrii Zakharov | Development of a Customer Insolvency Prediction Model following the Cross-Industry Standard Process for Data Mining (CRISP-DM) | Nadja Klein |
Selected Theses:
Bachelor Theses
- Regressionsmodelle und Hauptkomponentenanalyse für Billard-Bewegungstrajektorien (2019)
- Classification of input devices using cursor trajectories (2017)
- Funktions-auf-Skalar-Regression für Zellchipdaten (2015)
- The Correlation Coefficient as a Measure of Similarity for Thermal Images in Medicine (2014)
- Vergleich von Selektionskriterien für die Anzahl funktionaler Hauptkomponenten (2011)
Master Theses
- A comparison of different approaches to the joint modelling of longitudinal and time-to-event outcomes (2019)
- Multivariate functional regression models (2018)
- Boosting flexible joint models for longitudinal and time-to-event data with medical applications
(2018) - Clustering räumlicher Kurven zur Identifikation von Laufmustern bei Hypermarathonläufern (2017)
- Joint modelling of longitudinal biomarker measurements and time-to-event with an application in
patients with congestive heart failure (2017) - Multivariate Functional Principal Component Regression for Image Data with application to
Neuroimaging (2017) - Elastic Registration and Functional Principal Component Analysis of Curves in 1D and 2D (2017)
- Boosting Generalized Additive Models for Location, Scale and Shape (GAMLSS) for Functional Data
(2016) - Joint modelling of multiple longitudinal islet autoantibody profiles and the onset of type 1 diabetes
(2015; Kooperation mit dem Helmholtz-Zentrum München) - Klassifikation von Spektren (2016)
- Modellierung abhängiger/inhomogener Residuen in Regressionsmodellen für funktionale Responses
(2015) - A Comparison of Different Akaike Information Criteria in Linear Mixed Models (2014)
- Elucidating multivariate effects of various ECG parameters on mortality and evaluation of potentially
underlying genetic components through genomewide association analyses (2014; Kooperation mit dem
Helmholtz-Zentrum München) - Novelty Detection Methods in High-Dimensional Spaces With An Application On Spectral Data (2014;
Kooperation mit Siemens) - Identifiability in Scalar-on-Functions Regression (2013)
- Spatio-temporale Aspekte des Screening-Programms für Kolonkarzinome in Bayern (2011; mit Torsten
Hothorn)
Diploma Theses
- Statistischer Performance-Vergleich für Klima-Chemie-Modelle (2012; mit Torsten Hothorn)
- Conditional Akaike Information Criteria in Generalized Linear Mixed Models (2011; mit Thomas Kneib)