364-1105-00L Bayesian Data Science
Semester | Herbstsemester 2019 |
Dozierende | S. Feuerriegel |
Periodizität | jährlich wiederkehrende Veranstaltung |
Lehrsprache | Englisch |
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. |