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20112026
most citedDIF Statistical Inference without Knowing Anchoring Items

24 citations · 91 across the 38 of their papers we have counts for

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Showing 2026 · stat.MEShow all

9 papers · 2 filters

stat.ME2026

Genetic association testing with multivariate survival phenotypes under interval censoring

Juhee Lee, Kun Xia, Jianrui Zhang +3

Set-based genetic association tests provide a powerful framework for detecting genetic effects on complex traits by jointly analyzing multiple genetic variants. Although set-based…

stat.ME2026

Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data

Siyuan Tang, Gongjun Xu, Ji Zhu

Mixed-type data containing both numerical and categorical variables arise in many scientific and real-world applications. Existing representation learning and generative modeling a…

stat.ME2026

Statistical analysis of block structured latent variable models

Chengyu Cui, Gongjun Xu

This paper studies block structured latent variable models, in which observed variables are grouped into distinct blocks based on their relationships with the underlying latent var…

stat.ME2026

Stochastic Sensitivity Analysis for Matched Observational Studies

Mengqi Lin, Colin B. Fogarty, Gongjun Xu

Sensitivity analysis asks how strong unmeasured confounding needs to be to explain away an observational study's conclusion. The conventional approach in matched studies conducts i…

stat.ME2026

Theoretical Analysis of Engression and Reverse Markov Engression

Jiaqi Huang, Gongjun Xu, Ji Zhu

Engression is a recently proposed and effective framework for conditional distribution learning. Its multi-step Reverse Markov extension further improves generative flexibility by…

stat.ME2026

Multidimensional Item Response Theory under General Latent Distributions

Chengyu Cui, Taoyi Chen, Chun Wang +1

Multidimensional item response theory (MIRT) provides an important psychometric framework for modeling how multiple latent traits jointly influence observed item responses. In most…