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07/31/2023
HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field
Renewable energy is important for achieving carbon neutrality goal. With...
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07/02/2023
A Note on Ising Network Analysis with Missing Data
The Ising model has become a popular psychometric model for analyzing it...
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05/01/2023
DIF Analysis with Unknown Groups and Anchor Items
Measurement invariance across items is key to the validity of instrument...
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11/17/2022
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
Matrix completion is a class of machine learning methods that concerns t...
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08/16/2022
Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education
International large-scale assessments (ILSAs) play an important role in ...
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06/16/2022
Optimal Parallel Sequential Change Detection under Generalized Performance Measures
This paper considers the detection of change points in parallel data str...
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06/05/2022
Rotation to Sparse Loadings using L^p Losses and Related Inference Problems
Exploratory factor analysis (EFA) has been widely used to learn the late...
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10/21/2021
DIF Statistical Inference and Detection without Knowing Anchoring Items
Establishing the invariance property of an instrument (e.g., a questionn...
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08/19/2021
Item Response Theory – A Statistical Framework for Educational and Psychological Measurement
Item response theory (IRT) has become one of the most popular statistica...
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05/04/2021
A Note on Statistical Inference for Noisy Incomplete 1-Bit Matrix
We consider the statistical inference for noisy incomplete 1-bit matrix....
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10/05/2020
Determining the Number of Factors in High-dimensional Generalised Latent Factor Models
As a generalisation of the classical linear factor model, generalised la...
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09/03/2020
Unfolding-Model-Based Visualization: Theory, Method and Applications
Multidimensional unfolding methods are widely used for visualizing item ...
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08/23/2020
Item Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection
In standardized educational testing, test items are reused in multiple t...
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08/17/2020
Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
Latent variable models have been playing a central role in psychometrics...
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08/10/2020
A Note on Likelihood Ratio Tests for Models with Latent Variables
The likelihood ratio test (LRT) is widely used for comparing the relativ...
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04/16/2020
Estimation Methods for Item Factor Analysis: An Overview
Item factor analysis (IFA) refers to the factor models and statistical i...
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12/09/2019
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
Problem solving has been recognized as a central skill that today's stud...
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11/21/2019
Statistical Analysis of Item Preknowledge in Educational Tests: Latent Variable Modelling and Statistical Decision Theory
Tests are a building block of our modern education system. Many tests ar...
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09/12/2019
Compound Sequential Change Point Detection in Multiple Data Streams
We consider sequential change point detection in multiple data streams, ...
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07/19/2019
A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
In this note, we revisit a singular value decomposition (SVD) based algo...
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06/14/2019
A Latent Gaussian Process Model for Analyzing Intensive Longitudinal Data
Intensive longitudinal studies are becoming progressively more prevalent...
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12/24/2017
Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications
Latent factor models are widely used to measure unobserved latent traits...
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12/19/2017