Bachelor's Thesis are written in the course Seminar aus Statistik und Data Science, opens an external URL in a new window.
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:
Bitto-Nemling | |
---|---|
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Nonparametric Statistics |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Modelling of High-Dimensional Data, Approximative Inference, Biostatistics and Modelling of Genomic Data |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Computational Statistics, Bayes Statistics, Supervised Learning |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Experimental Design, Econometrics, Spatial Statistics |
Muszynska-Spielauer | |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Population Health and Mortality |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Survey Statistics and related topics |
Reichl:, opens an external URL in a new window | |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Panel Data Analysis |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | Time-Series Analysis, Analysis of Longitudinal Data, Survival Analysis, Bayes-Statistics, Medical Statistics |
Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden | (Generalized) Linear Models, Factor Analysis |
Bitto-Nemling | Zeitreihenanalyse, Computational Statistics, Bayesian Neural Networks, Statistical Machine Learning, MCMC Methoden |
Nonparametric Statistics | |
Modelling of High-Dimensional Data, Approximative Inference, Biostatistics and Modelling of Genomic Data | |
Computational Statistics, Bayes Statistics, Supervised Learning | |
Experimental Design, Econometrics, Spatial Statistics | |
Muszynska-Spielauer | Population Health and Mortality |
Survey Statistics and related topics | |
Reichl:, opens an external URL in a new window | Panel Data Analysis |
Time-Series Analysis, Analysis of Longitudinal Data, Survival Analysis, Bayes-Statistics, Medical Statistics | |
(Generalized) Linear Models, Factor Analysis |
Currently the following topics for Bachelor theses are offered for supervision amongst others:
• Nonparametric tests for umbrella alternatives | • Effects of Violation of Model Assumptions on Statistical Methods • Theory of Probability in Pictures: Visualisation of Important Results of Probability Theory |
Hainy: | |
• Nonparametric tests for umbrella alternatives | • Comparison of sequential design criteria for model discrimination design with correlated observations • Effect of instruction time on student achievements |
• Nonparametric tests for umbrella alternatives | • The Variance of the Sample Median |
Muszynska-Spielauer | |
• Nonparametric tests for umbrella alternatives | • Secular change in the gender health-survival paradox |
• Nonparametric tests for umbrella alternatives | • Indirekte Befragungsdesigns bei sensitiven Themen |
Reichl:, opens an external URL in a new window | |
• Nonparametric tests for umbrella alternatives | • Analysis of High-Frequency Electricity Consumption Data • Analysis of Multinational Household Surveys |
Wagner: | |
• Nonparametric tests for umbrella alternatives | • Estimation of heterogeneous treatment effects via propensity score matching
|
• Nonparametric tests for umbrella alternatives | • Confirmatory Factor Analysis and Structural Equation Modelling |
• Nonparametric tests for umbrella alternatives | |
• Effects of Violation of Model Assumptions on Statistical Methods • Theory of Probability in Pictures: Visualisation of Important Results of Probability Theory | |
Hainy: | • Comparison of sequential design criteria for model discrimination design with correlated observations • Effect of instruction time on student achievements |
• The Variance of the Sample Median | |
Muszynska-Spielauer | • Secular change in the gender health-survival paradox |
• Indirekte Befragungsdesigns bei sensitiven Themen | |
Reichl:, opens an external URL in a new window | • Analysis of High-Frequency Electricity Consumption Data • Analysis of Multinational Household Surveys |
Wagner: | • Estimation of heterogeneous treatment effects via propensity score matching
|
• Confirmatory Factor Analysis and Structural Equation Modelling |
Information regarding the Bachelor's Thesis can be found here. The template for the layout of the Bachelor's Thesis can be found below.