17 citations · 34 across the 8 of their papers we have counts for
9 papers
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
Yunxiao Chen, Xiaoou Li
Matrix completion is a class of machine learning methods that concerns the prediction of missing entries in a partially observed matrix. This paper studies matrix completion for mi…
Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement
Yunxiao Chen, Xiaoou Li, Jingchen Liu +1
Item response theory (IRT) has become one of the most popular statistical models for psychometrics, a field of study concerned with the theory and techniques of psychological measu…
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…
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…
A Latent Gaussian Process Model for Analyzing Intensive Longitudinal Data
Yunxiao Chen, Siliang Zhang
Intensive longitudinal studies are becoming progressively more prevalent across many social science areas, especially in psychology. New technologies like smart-phones, fitness tra…