A Gentle Introduction to Bayesian Statistics

 Coordinator  Irma Reyersen
 Email  ms.summerschool@uu.nl
 Venue  Online (Utrecht University)
 Mandatory/elective Elective
 ECTS 2 (1.5 course + 0.5 assignment)
 Abstract This course describes the stages involved in Bayesian analysis: specifying the prior and data models, deriving inference, model checking and refinement. We discuss prior and posterior predictive checking, and selecting a technique for sampling from a probability distribution. Other topics discussed are: approximate measurement invariance (a Bayesian method to assess comparability of data), evaluating hypotheses via the Bayes Factor and information criteria, and combining evidence from multiple studies addressing the same research question. Finally, we propose strategies for reproducibility and reporting standards, outlining the WAMBS-checklist (when to Worry and how to Avoid the Misuse of Bayesian Statistics).
 Examination Completion course and assignment (for IOPS members)
 Registration Register here. Please mention that you are an IOPS member, in order for fees to be waived.