activity
20192026
most citedA Note on Likelihood Ratio Tests for Models with Latent Variables

23 citations · 45 across the 5 of their papers we have counts for

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5 papers

stat.ME2026

High-Dimensional Tests for Elliptical Models via Radial--Directional Dependence

Haoran Zhang, Long Feng

We develop high-dimensional goodness-of-fit tests for elliptical models by testing radial--directional independence after affine standardization. The method forms coordinatewise co…

stat.ME2025

Model-free Rank Aggregation in the Presence of Rater Heterogeneity: A Maximum Score Approach

Haoran Zhang, Yunxiao Chen

This paper investigates the rank aggregation problem through the lens of multi-way comparison data derived from rater scores. Departing from traditional parametric frameworks, such…

stat.ME2020★ 2 cited

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…

math.ST2020★ 23 cited

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…

stat.ME2019★ 20 cited

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…