Event
Bayesian Statistics for Analyzing Data [WS232500025]
Lecturers
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
- Brick Introduction to Bayesian Statistics for Analyzing Data | Industrial Engineering and Management (M.Sc.)
- Brick Introduction to Bayesian Statistics for Analyzing Data | Economics Engineering (M.Sc.)
- Brick Introduction to Bayesian Statistics for Analyzing Data | Digital Economics (M.Sc.)
- Brick Introduction to Bayesian Statistics for Analyzing Data | Information Systems (M.Sc.)
- Brick Introduction to Bayesian Statistics for Analyzing Data | Information Engineering and Management (M.Sc.)
Note
The goal of this class is to introduce Bayesian statistics as a viable alternative to conventional Null-Hypothesis significance testing (NHST) and the calculation of p-values. The class introduces the theoretical background of Bayesian statistics and its advantages over NHST. Based on this, students will work through hands-on approaches for analyzing various empirical data using Bayesian statistics. These analyses will mainly be conducted with the statistics software R and JASP. The class provides participants with the necessary skills to evaluate and interpret the results of published Bayesian analyses and to use the method for testing hypotheses and estimating model parameters based on empirical data. There will be regular reading and homework assignments.