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stat.ME2026
Covariate-assisted Grade of Membership Models via Shared Latent Geometry
Zhiyu Xu, Yuqi Gu
The grade of membership model is a flexible latent variable model for analyzing multivariate categorical data through individual-level mixed membership scores. In many modern appli…
stat.ME2026
Valid and Efficient Two-Stage Latent Subgroup Analysis with Observational Data
Yuanhui Luo, Xinzhou Guo, Yuqi Gu
Subgroup analysis evaluates treatment effects across multiple sub-populations. When subgroups are defined by latent memberships inferred from imperfect measurements, the analysis t…