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Institute of Applied Statistics
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Master's Thesis

Members of the IFAS with PhD. supervise Bachelor and Master theses in Statistics, preferably in the following areas and serve as examiners for the Master’s examination:
 

Duller

Nonparametric Statistics

Futschik

Modelling of High-Dimensional Data, Approximative Inference, Biostatistics and Modelling of Genomic Data

Grün

Computational Statistics, Cluster Analysis, Mixture Distributions

Müller

Experimental Design, Econometrics, Spatial Statistics

Quatember

Survey Statistics and Official Statistics

Stehlík

Risk Management, Experimental Design, Pension Systems

Wagner

Time-Series Analysis, Analysis of Longitudinal Data, Survival Analysis, Bayes-Statistics, Generalized Linear Models

Waldl

(Generalized) Linear Models, Factor Analysis

Currently, amongst others, the following topics for Master theses are offered for supervision

Futschik:

• Statistical Modelling of Genomic Data

Müller:

• Further aspects of the virtual noise method for optimal design of experiments.

Quatember:

• Sensitive questions in statistical surveys

• The nonresponse-problem

Hainy:

• High-dimensional extension for Bayesian optimization with noisy objectives

Waldl:

• Empirical kriging variance in spatio-temporal models