Yunxiao Chen

15 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-7215-2324

Department of Statistics, London School of Economics and Political Science

Publications

• A Latent Variable Approach to Learning High-dimensional Multivariate longitudinal Data — Journal of the American Statistical Association 2026
• Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• A latent variable model with change-points and its application to time pressure effects in educational assessment — The Annals of Applied Statistics 2025
• Rejoinder — Journal of the American Statistical Association 2025
• When Composite Likelihood meets Stochastic Approximation — Journal of the American Statistical Association 2025
• A Note on Entrywise Consistency for Mixed-data Matrix Completion — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Statistical Inference for Noisy Incomplete Binary Matrix — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Yunxiao Chen and Gongjun Xu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• Determining the number of factors in high-dimensional generalized latent factor models — Biometrika 2022
• Detection of two-way outliers in multivariate data and application to cheating detection in educational tests — The Annals of Applied Statistics 2022
• Unfolding-Model-Based Visualization: Theory, Method and Applications — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications — Journal of the American Statistical Association 2020
• Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models — Journal of the American Statistical Association 2015
• Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments — Journal of the American Statistical Association (name-matched, not ORCID-linked)
• Sequential Knockoffs for Variable Selection in Reinforcement Learning — Journal of the American Statistical Association