| Coordinator | Irma Reyersen |
| ms.summerschool@uu.nl | |
| Venue | Utrecht University |
| Mandatory/elective | Elective |
| ECTS | 2 |
| Abstract | This course introduces all the essential ingredients needed to start Bayesian estimation and inference. We discuss specifying priors, obtaining the posterior, prior/posterior predictive checking, sensitivity analyses, and the usefulness of a specific class of priors called shrinkage priors. We propose strategies for reproducibility and reporting standards, outlining the WAMBS-checklist (when to Worry and how to Avoid the Misuse of Bayesian Statistics). We have prepared many exercises to enable students to get hands-on experience. |
| Examination | Completion course |
| Registration & costs |
For more information and registration see here. The course is free for IOPS PhD members. |
IOPS
