Bayesian IRT models
In educational and psychological measurement, we are generally interested in the distribution of the item and the person parameters given the observed response patterns. When Bayes Theorem (1763) is applied, the conditional probability of the item and person parameters given the data can be modeled as a combination of prior beliefs about them and a parametric model about what the data should look like, conditional on the item and person parameter values