Fitting Bayesian Item Response Theory Models Using Deep Learning Computational Frameworks
Journal of Educational and Behavioral Statistics
Published online on April 13, 2026
Abstract
Journal of Educational and Behavioral Statistics, Ahead of Print.
PyTorch and TensorFlow are two widely adopted modern deep learning frameworks that provide comprehensive computational libraries for developing and fitting complex models. Motivated by the technical barriers in recent item response theory (IRT) work and ...
PyTorch and TensorFlow are two widely adopted modern deep learning frameworks that provide comprehensive computational libraries for developing and fitting complex models. Motivated by the technical barriers in recent item response theory (IRT) work and ...