32 citations · 175 across the 24 of their papers we have counts for
25 papers
Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks
Seungwon Lee, Yunxiao Chen, Xiaoou Li
This paper investigates sequential change-point detection in reconfigurable sensor networks. In this problem, data from multiple sensors are observed sequentially. Each sensor can…
A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
Gabriel Wallin, Yunxiao Chen, Yi-Hsuan Lee +1
Educational assessments are valuable tools for measuring student knowledge and skills, but their validity can be compromised when test takers exhibit changes in response behavior d…
A Note on Ising Network Analysis with Missing Data
Siliang Zhang, Yunxiao Chen
The Ising model has become a popular psychometric model for analyzing item response data. The statistical inference of the Ising model is typically carried out via a pseudo-likelih…
DIF Analysis with Unknown Groups and Anchor Items
Gabriel Wallin, Yunxiao Chen, Irini Moustaki
Ensuring fairness in instruments like survey questionnaires or educational tests is crucial. One way to address this is by a Differential Item Functioning (DIF) analysis, which exa…
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…
Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education
Zilong Xie, Yunxiao Chen, Matthias von Davier +1
International large-scale assessments (ILSAs) play an important role in educational research and policy making. They collect valuable data on education quality and performance deve…
Optimal Parallel Sequential Change Detection under Generalized Performance Measures
Zexian Lu, Yunxiao Chen, Xiaoou Li
This paper considers the detection of change points in parallel data streams, a problem widely encountered when analyzing large-scale real-time streaming data. Each stream may have…
Rotation to Sparse Loadings using Losses and Related Inference Problems
Xinyi Liu, Gabriel Wallin, Yunxiao Chen +1
Researchers have widely used exploratory factor analysis (EFA) to learn the latent structure underlying multivariate data. Rotation and regularised estimation are two classes of me…
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…
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…
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…
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…
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
Yunxiao Chen
Problem solving has been recognized as a central skill that today's students need to thrive and shape their world. As a result, the measurement of problem-solving competency has re…
Detection of Two-Way Outliers in Multivariate Data and Application to Cheating Detection in Educational Tests
Yunxiao Chen, Yan Lu, Irini Moustaki
The paper proposes a new latent variable model for the simultaneous (two-way) detection of outlying individuals and items for item-response-type data. The proposed model is a syner…
A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
Haoran Zhang, Yunxiao Chen, Xiaoou Li
We revisit a singular value decomposition (SVD) algorithm given in Chen et al. (2019b) for exploratory Item Factor Analysis (IFA). This algorithm estimates a multidimensional IFA m…
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…
Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications
Yunxiao Chen, Xiaoou Li, Siliang Zhang
Latent factor models are widely used to measure unobserved latent traits in social and behavioral sciences, including psychology, education, and marketing. When used in a confirmat…
Joint Maximum Likelihood Estimation for High-dimensional Exploratory Item Response Analysis
Yunxiao Chen, Xiaoou Li, Siliang Zhang
Joint maximum likelihood (JML) estimation is one of the earliest approaches to fitting item response theory (IRT) models. This procedure treats both the item and person parameters…
Asymptotically Optimal Sequential Design for Rank Aggregation
Xi Chen, Yunxiao Chen, Xiaoou Li
A sequential design problem for rank aggregation is commonly encountered in psychology, politics, marketing, sports, etc. In this problem, a decision maker is responsible for ranki…
Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework
Xiaoou Li, Yunxiao Chen, Xi Chen +2
In this paper, we aim at solving a class of multiple testing problems under the Bayesian sequential decision framework. Our motivating application comes from binary labeling tasks…