LSE creators

Number of items: 43.
Article
  • Qiao, Jiawei, Chen, Yunxiao, Ying, Zhiliang (2026). Exploratory hierarchical factor analysis with an application to psychological measurement. Statistica Sinica, picture_as_pdf
  • Lee, Sze Ming, Chen, Yunxiao, Sit, Tony (2025). A latent variable approach to learning high-dimensional multivariate longitudinal data. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2606384
  • Han, Yuting, Ji, Feng, Chen, Yunxiao, Gan, Kaiyu, Liu, Hongyun (2025). Analyzing group differences and measurement fairness in process data: a sequential response model with covariates. Methodology, picture_as_pdf
  • Alfonzetti, Giuseppe, Bellio, Ruggero, Chen, Yunxiao, Moustaki, Irini (2025). When composite likelihood meets stochastic approximation. Journal of the American Statistical Association, 120(551), 1906 - 1918. https://doi.org/10.1080/01621459.2024.2436219 picture_as_pdf
  • Wallin, Gabriel, Chen, Yunxiao, Lee, Yi-Hsuan, Li, Xiaoou (2025). A latent variable model with change-points and its application to time pressure effects in educational assessment. Annals of Applied Statistics, 19(3), 2490 - 2516. https://doi.org/10.1214/25-aoas2052 picture_as_pdf
  • Chen, Fangyi, Chen, Yunxiao, Ying, Zhiliang, Zhou, Kangjie (2025). Dynamic factor analysis of high-dimensional recurrent events. Biometrika, 112(3). https://doi.org/10.1093/biomet/asaf028 picture_as_pdf
  • Qiao, Jiawei, Chen, Yunxiao, Ying, Zhiliang (2025). Exact exploratory bi-factor analysis: a constraint-based optimization approach. Psychometrika, 90(3), 998 - 1013. https://doi.org/10.1017/psy.2025.17 picture_as_pdf
  • Cardenas Hurtado, Camilo, Moustaki, Irini, Chen, Yunxiao, Marra, Giampiero (2025). Generalized latent variable models for location, scale, and shape parameters. Psychometrika, 90(3), 932 - 956. https://doi.org/10.1017/psy.2025.7 picture_as_pdf
  • Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Unfolding the network of peer grades: a latent variable approach. Psychometrika, 90(3), 1153 - 1174. https://doi.org/10.1017/psy.2025.10021 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2025). Item response theory—a statistical framework for educational and psychological measurement. Statistical Science, 40(2), 167 - 194. https://doi.org/10.1214/23-sts896 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2025). Rejoinder: Item response theory—a statistical framework for educational and psychological measurement. Statistical Science, 40(2), 205 - 210. https://doi.org/10.1214/25-sts974
  • Alfonzetti, Giuseppe, Bellio, Ruggero, Chen, Yunxiao, Moustaki, Irini (2025). Pairwise stochastic approximation for confirmatory factor analysis of categorical data. British Journal of Mathematical and Statistical Psychology, 78(1), 22 - 43. https://doi.org/10.1111/bmsp.12347 picture_as_pdf
  • Zhang, Siliang, Chen, Yunxiao (2024). A note on Ising network analysis with missing data. Psychometrika, 89(4), 1186 - 1202. https://doi.org/10.1007/s11336-024-09985-2 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou (2024). A note on entrywise consistency for mixed-data matrix completion. Journal of Machine Learning Research, 25, picture_as_pdf
  • Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini (2024). DIF analysis with unknown groups and anchor items. Psychometrika, 89(1), 267 - 295. https://doi.org/10.1007/s11336-024-09948-7 picture_as_pdf
  • Xie, Zilong, Chen, Yunxiao, von Davier, Matthias, Weng, Haolei (2023). Variable selection in latent variable models via knockoffs: an application to international large-scale assessment in education. Journal of the Royal Statistical Society. Series A: Statistics in Society, https://doi.org/10.1093/jrsssa/qnad137 picture_as_pdf
  • Chen, Yunxiao, Li, Chengcheng, Ouyang, Jing, Xu, Gongjun (2023). DIF statistical inference without knowing anchoring items. Psychometrika, 88(4), 1097 - 1122. https://doi.org/10.1007/s11336-023-09930-9 picture_as_pdf
  • Chen, Yunxiao, Xu, Gongjun (2023). 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, 85(4), 1082 – 1084. https://doi.org/10.1093/jrsssb/qkad040
  • Liu, Xinyi Lin, Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini (2023). Rotation to sparse loadings using Lp losses and related inference problems. Psychometrika, 88(2), 527 - 553. https://doi.org/10.1007/s11336-023-09911-y picture_as_pdf
  • Chen, Yunxiao, Li, Chengcheng, Ouyang, Jing, Xu, Gongjun (2023). Statistical inference for noisy incomplete binary matrix. Journal of Machine Learning Research, 24, picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou (2023). Compound sequential change-point detection in parallel data streams. Statistica Sinica, 33(1), 453 - 474. https://doi.org/10.5705/ss.202020.0508 picture_as_pdf
  • Lu, Zexian, Chen, Yunxiao, Li, Xiaoou (2022). Optimal parallel sequential change detection under generalized performance measures. IEEE Transactions on Signal Processing, 70, 5967 - 5981. https://doi.org/10.1109/TSP.2022.3231521 picture_as_pdf
  • Zhang, Siliang, Chen, Yunxiao (2022). Computation for latent variable model estimation: a unified stochastic proximal framework. Psychometrika, 87(4), 1473 - 1502. https://doi.org/10.1007/s11336-022-09863-9 picture_as_pdf
  • Chen, Yunxiao, Lu, Yan, Moustaki, Irini (2022). Detection of two-way outliers in multivariate data and application to cheating detection in educational tests. Annals of Applied Statistics, 16(3), 1718 - 1746. https://doi.org/10.1214/21-AOAS1564 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou (2022). Determining the number of factors in high-dimensional generalized latent factor models. Biometrika, 109(3), 769 - 782. https://doi.org/10.1093/biomet/asab044 picture_as_pdf
  • Chen, Xi, Chen, Yunxiao, Li, Xiaoou (2022). Asymptotically optimal sequential design for rank aggregation. Mathematics of Operations Research, 47(3), 2310 - 2332. https://doi.org/10.1287/moor.2021.1209 picture_as_pdf
  • Chen, Yunxiao, Lee, Yi-Hsuan, Li, Xiaoou (2022). Item pool quality control in educational testing: change point model, compound risk, and sequential detection. Journal of Educational and Behavioral Statistics, 47(3), 322 - 352. https://doi.org/10.3102/10769986211059085 picture_as_pdf
  • Ravipati, Kaushik, Chen, Yunxiao, Manns, Joseph R. (2022). Reassessing diabetes and APOE genotype as potential interacting risk factors for Alzheimer’s disease. American Journal of Alzheimer's Disease and other Dementias, 37, 1 - 10. https://doi.org/10.1177/15333175211070912 picture_as_pdf
  • Li, Xiaoou, Chen, Yunxiao, Chen, Xi, Liu, Jingchen, Ying, Zhiliang (2021). Optimal stopping and worker selection in crowdsourcing: an adaptive sequential probability ratio test framework. Statistica Sinica, 31(1), 519 - 546. https://doi.org/10.5705/ss.202018.0300 picture_as_pdf
  • Chen, Yunxiao, Ying, Zhiliang, Zhang, Haoran (2021). Unfolding-model-based visualization: theory, method and applications. Journal of Machine Learning Research, 22, 1-51. picture_as_pdf
  • Chen, Yunxiao (2020). A continuous-time dynamic choice measurement model for problem-solving process data. Psychometrika, https://doi.org/10.1007/s11336-020-09734-1 picture_as_pdf
  • Chen, Yunxiao, Moustaki, Irini, Zhang, H (2020). A note on likelihood ratio tests for models with latent variables. Psychometrika, 85(4), 996 - 1012. https://doi.org/10.1007/s11336-020-09735-0 picture_as_pdf
  • Zhang, Haoran, Chen, Yunxiao, Li, Xiaoou (2020). A note on exploratory item factor analysis by singular value decomposition. Psychometrika, 85(2), 358 - 372. https://doi.org/10.1007/s11336-020-09704-7 picture_as_pdf
  • Chen, Yunxiao, Zhang, Siliang (2020). A latent Gaussian process model for analysing intensive longitudinal data. British Journal of Mathematical and Statistical Psychology, 73(2), 237 - 260. https://doi.org/10.1111/bmsp.12180 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Zhang, Siliang (2019). Structured latent factor analysis for large-scale data: identifiability, estimability, and their implications. Journal of the American Statistical Association, 115(532), 1756-1770. https://doi.org/10.1080/01621459.2019.1635485 picture_as_pdf
  • Ayzenberg, Vladislav, Chen, Yunxiao, Yousif, Sami R., Lourenco, Stella F. (2019). Skeletal representations of shape in human vision: evidence for a pruned medial axis model. Journal of Vision, 19(6), 1-21. https://doi.org/10.1167/19.6.6 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2019). Statistical analysis of complex problem-solving process data: an event history analysis approach. Frontiers in Psychology, 10, https://doi.org/10.3389/fpsyg.2019.00486 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Zhang, Siliang (2019). Joint maximum likelihood estimation for high-dimensional exploratory item factor analysis. Psychometrika, 84(1), 124-146. https://doi.org/10.1007/s11336-018-9646-5 picture_as_pdf
  • Zhang, Siliang, Chen, Yunxiao, Liu, Yang (2018). An improved stochastic EM algorithm for large-scale full-information item factor analysis. British Journal of Mathematical and Statistical Psychology, https://doi.org/10.1111/bmsp.12153 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2018). Robust measurement via a fused latent and graphical item response theory model. Psychometrika, 83(3), 538 – 562. https://doi.org/10.1007/s11336-018-9610-4 picture_as_pdf
  • Chen, Yunxiao, Li, Xiaoou, Liu, Jingchen, Ying, Zhiliang (2017). Regularized latent class analysis with application in cognitive diagnosis. Psychometrika, 82(3), 660 – 692. https://doi.org/10.1007/s11336-016-9545-6 picture_as_pdf
  • Chen, Yunxiao, Liu, Jingchen, Xu, Gongjun, Ying, Zhiliang (2015). Statistical analysis of Q-matrix based diagnostic classification models. Journal of the American Statistical Association, 110(510), 850 - 866. https://doi.org/10.1080/01621459.2014.934827 picture_as_pdf
    • Chapter
  • Mignemi, Giuseppe, Chen, Yunxiao, Moustaki, Irini (2025). Statistical analysis of peer grading: a latent variable approach. In Pollice, Alessio, Mariani, Paolo (Eds.), Methodological and Applied Statistics and Demography IV: SIS 2024, Short Papers, Contributed Sessions 2 (pp. 263 - 268). Springer. https://doi.org/10.1007/978-3-031-64447-4_45 picture_as_pdf