3 papers
stat.ME2025
A Hybrid APIM-CFGM Model for Longitudinal Non-Exchangeable Dyads: Demonstrating and Comparing Estimation Approaches Using Multilevel Modeling
Liu Liu
Understanding change over time within dyads, such as mentor-mentee or therapist-client pairs, poses unique challenges, particularly in studies with small samples and distinguishabl…
stat.ME2025
Mode-Matched Inverse Gamma Priors for Variance Components in Bayesian Multilevel Models
Liu Liu
We introduce a strategy for specifying informative inverse-gamma (IG) priors for variance components in Bayesian multilevel models (MLMs), derived via transformations from chi-squa…
cs.AI2025
Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
Liu Liu, Rui Dai
Understanding the factors that shape students' mathematics performance is vital for designing effective educational policies. This study applies explainable artificial intelligence…