| Recommendation system for adaptive learning Y Chen, X Li, J Liu, Z Ying Applied psychological measurement 42 (1), 24-41, 2018 | 134 | 2018 |
| A reinforcement learning approach to personalized learning recommendation systems X Tang, Y Chen, X Li, J Liu, Z Ying British Journal of Mathematical and Statistical Psychology 72 (1), 108-135, 2019 | 105 | 2019 |
| Joint maximum likelihood estimation for high-dimensional exploratory item factor analysis Y Chen, X Li, S Zhang Psychometrika 84, 124-146, 2019 | 98 | 2019 |
| Structured latent factor analysis for large-scale data: Identifiability, estimability, and their implications Y Chen, X Li, S Zhang Journal of the American Statistical Association 115 (532), 1756-1770, 2020 | 76 | 2020 |
| Statistical analysis of complex problem-solving process data: An event history analysis approach Y Chen, X Li, J Liu, Z Ying Frontiers in Psychology 10, 486, 2019 | 47 | 2019 |
| Spherical regression under mismatch corruption with application to automated knowledge translation X Shi, X Li, T Cai Journal of the American Statistical Association 116 (536), 1953-1964, 2021 | 42 | 2021 |
| Generalized sequential probability ratio test for separate families of hypotheses X Li, J Liu, Z Ying Sequential analysis 33 (4), 539-563, 2014 | 39 | 2014 |
| Item Response Theory--A Statistical Framework for Educational and Psychological Measurement Y Chen, X Li, J Liu, Z Ying arXiv preprint arXiv:2108.08604, 2021 | 37 | 2021 |
| Regularized latent class analysis with application in cognitive diagnosis Y Chen, X Li, J Liu, Z Ying Psychometrika 82, 660-692, 2017 | 35 | 2017 |
| A note on exploratory item factor analysis by singular value decomposition H Zhang, Y Chen, X Li Psychometrika 85 (2), 358-372, 2020 | 30 | 2020 |
| Robust measurement via a fused latent and graphical item response theory model Y Chen, X Li, J Liu, Z Ying Psychometrika 83, 538-562, 2018 | 29 | 2018 |
| Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization D Zhou, Z Gan, X Shi, A Patwari, E Rush, CL Bonzel, VA Panickan, ... Journal of Biomedical Informatics 133, 104147, 2022 | 27 | 2022 |
| Determining the number of factors in high-dimensional generalized latent factor models Y Chen, X Li Biometrika 109 (3), 769-782, 2022 | 25 | 2022 |
| Decentralized sequential composite hypothesis test based on one-bit communication S Li, X Li, X Wang, J Liu IEEE Transactions on Information Theory 63 (6), 3405-3424, 2017 | 24 | 2017 |
| A fused latent and graphical model for multivariate binary data Y Chen, X Li, J Liu, Z Ying arXiv preprint arXiv:1606.08925, 2016 | 17 | 2016 |
| Exploratory item classification via spectral graph clustering Y Chen, X Li, J Liu, G Xu, Z Ying Applied psychological measurement 41 (8), 579-599, 2017 | 15 | 2017 |
| Sequential hypothesis test with online usage-constrained sensor selection S Li, X Li, X Wang, J Liu IEEE Transactions on information theory 65 (7), 4392-4410, 2019 | 12 | 2019 |
| Asymptotically optimal sequential design for rank aggregation X Chen, Y Chen, X Li Mathematics of Operations Research 47 (3), 2310-2332, 2022 | 11 | 2022 |
| Item response theory—A statistical framework for educational and psychological measurement. arXiv 2021 Y Chen, X Li, J Liu, Z Ying arXiv preprint arXiv:2108.08604, 0 | 11 | |
| Compound Sequential Change-point Detection in Parallel Data Streams Y Chen, X Li arXiv preprint arXiv:1909.05903, 2019 | 10 | 2019 |
Yunxiao ChenDepartment of Statistics, London School of Economics and Political ScienceПодтвержден адрес электронной почты в домене lse.ac.uk
