32 citations · 175 across the 24 of their papers we have counts for
5 papers · 1 filter
Determining the Number of Factors in High-dimensional Generalized Latent Factor Models
Yunxiao Chen, Xiaoou Li
As a generalization of the classical linear factor model, generalized latent factor models are useful for analyzing multivariate data of different types, including binary choices a…
Unfolding-Model-Based Visualization: Theory, Method and Applications
Yunxiao Chen, Zhiliang Ying, Haoran Zhang
Multidimensional unfolding methods are widely used for visualizing item response data. Such methods project respondents and items simultaneously onto a low-dimensional Euclidian sp…
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
Siliang Zhang, Yunxiao Chen
Latent variable models have been playing a central role in psychometrics and related fields. In many modern applications, the inference based on latent variable models involves one…
A Note on Likelihood Ratio Tests for Models with Latent Variables
Yunxiao Chen, Irini Moustaki, Haoran Zhang
The likelihood ratio test (LRT) is widely used for comparing the relative fit of nested latent variable models. Following Wilks' theorem, the LRT is conducted by comparing the LRT…
Estimation Methods for Item Factor Analysis: An Overview
Yunxiao Chen, Siliang Zhang
Item factor analysis (IFA) refers to the factor models and statistical inference procedures for analyzing multivariate categorical data. IFA techniques are commonly used in social…