364-1105-00L Bayesian Data Science
|Periodizität||jährlich wiederkehrende Veranstaltung|
|Kurzbeschreibung||This course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models.|
|Lernziel||Students 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.
|Literatur||Students 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.