On this page you can find all the courses and tracks offered by the Utrecht Summer School. Detailed information is published on all individual course pages.
2 course(s) found
This course introduces all the essential ingredients needed to start Bayesian inference or model selection. We discuss specifying priors, obtaining the posterior, prior/posterior predictive checking, and sensitivity analyses. We also discuss evaluating hypotheses via the Bayes Factor, using information criteria and aggregating evidence from multiple studies. We propose strategies for reproducibility and reporting standards, outlining the WAMBS-…
The course is based on a total survey error perspective and discusses the major sources of survey error. Participants will be presented with tools for detection and adjustment of such errors. Analysis methods are introduced using both SPSS and R. Topics include complex sampling, nonresponse adjustment, measurement error, analysis of incomplete data and advanced use of administrative data. Special attention will be given to the analysis of…