34 citations · 76 across the 10 of their papers we have counts for
10 papers
Endogeneity-Aware Cognitive Diagnostic Model for Multidomain Ordinal Assessments
Zhiyu Huang, Jing Ouyang, Kai Kang
Multidomain assessment batteries generate ordinal item responses that are often summarized through latent attribute profiles. Conventional cognitive diagnostic models (CDMs) provid…
Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
Jing Ouyang, Chengyu Cui, Yunxiao Chen +2
Regression models with both high-dimensional responses and covariates have attracted growing attention. Standard multivariate regression models become inadequate when the response…
Beyond Vintage Rotation: Bias-Free Sparse Representation Learning with Oracle Inference
Chengyu Cui, Yunxiao Chen, Jing Ouyang +1
Learning low-dimensional latent representations is a central topic in statistics and machine learning, and rotation methods have long been used to obtain sparse and interpretable r…
Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness
Jing Ouyang, Chengyu Cui, Kean Ming Tan +1
Latent variable models are popularly used to measure latent factors (e.g., abilities and personalities) from large-scale assessment data. Beyond understanding these latent factors,…
A Note on Improving Variational Estimation for Multidimensional Item Response Theory
Chenchen Ma, Jing Ouyang, Chun Wang +1
Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimens…
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding
Jing Ouyang, Kean Ming Tan, Gongjun Xu
Statistical inferences for high-dimensional regression models have been extensively studied for their wide applications ranging from genomics, neuroscience, to economics. However,…
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…
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…
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.…
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…