89 citations · 178 across the 12 of their papers we have counts for
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stat.ME2021★ 9 cited
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
Yuqi Gu, Elena A. Erosheva, Gongjun Xu +1
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs in…
stat.ME2021★ 10 cited
A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
Zhenghao Zeng, Yuqi Gu, Gongjun Xu
Latent class models are powerful statistical modeling tools widely used in psychological, behavioral, and social sciences. In the modern era of data science, researchers often have…
stat.ME2021★ 3 cited
Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data
Yuqi Gu, David B. Dunson
High dimensional categorical data are routinely collected in biomedical and social sciences. It is of great importance to build interpretable parsimonious models that perform dimen…