89 citations · 455 across the 65 of their papers we have counts for
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DIF Statistical Inference without Knowing Anchoring Items
Yunxiao Chen, Chengcheng Li, Jing Ouyang +1
Establishing the invariance property of an instrument is a key step for establishing its measurement validity. Measurement invariance is typically assessed by differential item fun…
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…
Hypothesis Testing for Hierarchical Structures in Cognitive Diagnosis Models
Chenchen Ma, Gongjun Xu
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models widely used in educational, psychological and social sciences. In many applications of CDM…
Statistical Inference for Noisy Incomplete Binary Matrix
Yunxiao Chen, Chengcheng Li, Jing Ouyang +1
We consider the statistical inference for noisy incomplete binary (or 1-bit) matrix. Despite the importance of uncertainty quantification to matrix completion, most of the categori…
Regression Modeling for Recurrent Events Using R Package reReg
Sy Han Chiou, Gongjun Xu, Jun Yan +1
Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of eve…
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
Chenchen Ma, Gongjun Xu
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in modern educational, psychological, social and biological sciences.…
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…
Identifiability of Latent Class Models with Covariates
Jing Ouyang, Gongjun Xu
Latent class models with covariates are widely used for psychological, social, and educational research. Yet the fundamental identifiability issue of these models has not been full…