Showing stat.MEShow all
3 papers · 1 filter
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…
stat.ME2025
Spectral Clustering with Likelihood Refinement for High-dimensional Latent Class Recovery
Zhongyuan Lyu, Yuqi Gu
Latent class models are widely used for identifying unobserved subgroups from multivariate categorical data in social sciences, with binary data as a particularly popular example.…