Computational Methods and Principles of Bayesian Inference (5cr)
Course unit code: C-10122-DATA--STAT--430
General information
- Credits
- 5 cr
- Institution
- University of Tampere
Objectives
After completing the course, the student is able to apply computational methods to support statistical inference. The student is able to produce random numbers, simulate and utilize the bootstrap method, cross-validation and permutation testing for data-based research problems with the help of suitable statistical software. In addition, the basics of Bayes-based inference are introduced.