364-1105-00L  Bayesian Data Science

SemesterHerbstsemester 2018
DozierendeS. Feuerriegel
Periodizitätjährlich wiederkehrende Veranstaltung

KurzbeschreibungThis course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models.
LernzielStudents 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.
LiteraturStudents 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.