Information on Master's theses

Preconditions:

To start a Master or Diploma thesis at the chair, you have to pass at least three of the following modules

  • Applied Regression [MA4401]
  • Computational Statistics [MA3402]
  • Generalized Linear Models [MA3403]
  • Quantitative Risk Management [MA5415]
  • Stochastic Analysis [MA4405]
  • Time Series Analysis [MA3411]

In addition you have to pass one of the chair's Master seminars (or an equivalent achievement).

 

Ongoing theses

  • Allwright, Emma: Development of an enhanced additive logistic regression model for European thunderstorms and their associated hazards (Claudia Czado)
  • Martonak, Michal: Bayesian modelling of insurance risks with deep learning (Mathias Drton)
  • Schmitt, Johannes: Bayesian experimental design for causal structure learning (Mathias Drton)
  • Müller, Thomas: Knockoffs based on high-dimensional mixed graphical models (Mathias Drton)
  • Freidling, Tobias: Model uncertainty in statistical inference (Mathias Drton)
  • Kollosche, Susan: Statistical analysis of energy appliance data (Claudia Czado, Alexander Kreuzer)
  • Sturma, Nils: Testing algebraic constraints on statistical parameters (Mathias Drton)

Useful hints