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20112026
most citedLearning Attribute Patterns in High-Dimensional Structured Latent Attribute Models

15 citations · 21 across the 9 of their papers we have counts for

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10 papers · 1 filter

stat.ME2026

Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates

Jing Ouyang, Chengyu Cui, Yunxiao Chen +2

Regression models with both high-dimensional responses and covariates have attracted growing attention. Standard multivariate regression models become inadequate when the response…

stat.ME2025

Recurrent Event Analysis with Ordinary Differential Equations

Bo Meng, Weijing Tang, Gongjun Xu +1

This paper introduces a general framework for analyzing recurrent event data by modeling the conditional mean function of the recurrent event process as the solution to an Ordinary…

stat.ME2025

Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments

Jing Ouyang, Yunxiao Chen, Chengcheng Li +1

International Large-scale Assessments (ILSAs), such as the Program for International Student Assessment (PISA) and the Trends in International Mathematics and Science Study (TIMSS)…

stat.ME2024

Quantile Mediation Analytics

Canyi Chen, Yinqiu He, Huixia J. Wang +2

Mediation analytics help examine if and how an intermediate variable mediates the influence of an exposure variable on an outcome of interest. Quantiles, rather than the mean, of a…

stat.ME2024

A General Latent Embedding Approach for Modeling Non-uniform High-dimensional Sparse Hypergraphs with Multiplicity

Shihao Wu, Gongjun Xu, Ji Zhu

Recent research has shown growing interest in modeling hypergraphs, which capture polyadic interactions among entities beyond traditional dyadic relations. However, most existing m…

stat.ME2022

Adaptive Tests for Bandedness of High-dimensional Covariance Matrices

Xiaoyi Wang, Gongjun Xu, Shurong Zheng

Estimation of the high-dimensional banded covariance matrix is widely used in multivariate statistical analysis. To ensure the validity of estimation, we aim to test the hypothesis…