Bayesian Item Response Modeling

 Coordinator Jean-Paul Fox
 Email g.j.a.fox@utwente.nl
 Venue University of Twente
 Mandatory/elective Elective
 ECTS 2
 Abstract This two-day course will give an overview of recent developments in Bayesian (item) response modeling. Bayesian statistical theory has shown to be increasingly important in mainstream data analysis. The Bayesian paradigm makes it possible to include (prior) information in addition to the sample to improve statistical decision making. The combined set of information (prior and data information) can be used to make inferences, and as new information is collected, statements can be updated. An essential element is that probability statements are made about the quantities of interest.
(This course will not be available in 2024)
 Examination Attendance & exercises