This course introduces to the Bayesian approach to statistical modeling and further covers on how to formulate and evaluate Bayesian models.
Learning objective
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.
Literature
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.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course