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stat.AP2026
Modeling Nonlinear Ability Trajectories and Learner Heterogeneity in Online Learning: A Bayesian Nonparametric Dynamic IRT Framework
Zhihua Ma, Alice Xu, Icy Zhang +1
Online learning has amplified the need to understand how student engagement patterns influence learning outcomes, particularly given the flexibility of technology-mediated environm…
stat.AP2020★ 5 cited
Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse
Zhihua Ma, Yishu Xue, Guanyu Hu
The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In th…
stat.AP2020
A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously
Guanyu Hu, Zhihua Ma, Insu Paek
Item response theory (IRT) is a popular modeling paradigm for measuring subject latent traits and item properties according to discrete responses in tests or questionnaires. There…