Model fit and parameter uncertainty in amortized variational inference based item response theory.
Amortized variational inference (AVI) has become a popular, computationally efficient alternative to marginal maximum likelihood estimation (MML) for estimating high-dimensional item response theory models on large datasets. However, currently the AVI framework lacks methods to assess model fit and determine parameter...