805627S Theory of Statistical Inference (5 cr)
Cooperation network course
Network: Cross-institutional studies in advanced courses in mathematics and statistics
This course is offered through the Network for Advanced Studies in Mathematics. These studies are available for the following degree students:
- Bachelor's Degree Programme in Mathematics
- Master's Degree Programme in Mathematics
- Bachelor's Degree Programme in Mathematics (Subject Teacher)
- Master's Degree Programme in Mathematics (Subject Teacher)
- Bachelor's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Master's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Doctoral Programme in Mathematics and Statistics
- Doctoral Programme in Mathematics and Science (Specialication in Mathematics)
Description
Frequentist inference, Bayes inference, likelihood, multiple testing problem, False Discovery Rate (FDR), permutation test, parametric and non-parametric bootstrap method, Sandwitch estimator / robust inference
Learning outcomes
After successful completion of the course the student is able to do statistical inference in likelihood framework as well as in Bayesian analysis using common statistical softwares.
Additional information
Timing
Period 3
Target group
Statistics major and minor students