364-1105-00L  Bayesian Data Science

SemesterAutumn Semester 2019
LecturersS. Feuerriegel
Periodicityyearly recurring course
Language of instructionEnglish


AbstractThis course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models.
Learning objectiveStudents will gain the ability to
- understand the difference between frequentist statistics and Bayesian approaches
- formalize and implement Bayesian models in R/Stan.
- evaluate estimated models.
LiteratureStudents are asked to prepare Chapters 2 and 3 of the following book prior to the first course data:
Richard McElreath (2016). Statstical Rethinking: A Bayesian Course with Examples in R and Stan. CRC Press.