2 papers
stat.ML2026
An efficient adaptive dimension selection algorithm for multidimensional probit graded response models
Yu Zhou, Yincai Tang, Bin Lv +1
Multidimensional graded response models (MGRMs) are widely used for analyzing ordinal questionnaire data in psychological and educational assessments. A central challenge in applyi…
stat.ME2026
A Cumulative Ordered Spike-and-Slab Prior for Adaptive Dimension Selection in Joint Latent Space Models
Bin Lv, Yincai Tang, Siliang Zhang
Network models are increasingly vital in psychometrics for analyzing relational data, which are often accompanied by high-dimensional node attributes. Joint latent space models (JL…