Introduction to Bayesian Statistics

Topics: Bayesian Inference (prior, posterior, ...), posterior estimation via MCMC sampling, First Bayesian regressions (LM, GLM), Bayesian Model Selection (Bayes factor, Bayesian information criteria, Bayesian regularisation), Bayesian Workflow (conversion checks, model diagnostics, interpreting results, robustness checks), Hierarchical Models.

Course contents: https://spur.uni-regensburg.de:443/qisserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=37373&periodId=553&navigationPosition=studiesOffered,searchCourses
 

Link for registration: https://elearning.uni-regensburg.de/course/view.php?id=64957

Instructor: Prof. Florian Hartig

 

RIGeL CPs: 0,9 CP as Method Course