Latent Feature Extraction for Process Data via Multidimensional Scaling X Tang, Z Wang, Q He, J Liu, Z Ying Psychometrika 85, 378-397, 2020 | 73 | 2020 |
An exploratory analysis of the latent structure of process data via action sequence autoencoders X Tang, Z Wang, J Liu, Z Ying British Journal of Mathematical and Statistical Psychology 74 (1), 1-33, 2021 | 59 | 2021 |
Accurate assessment via process data S Zhang, Z Wang, J Qi, J Liu, Z Ying Psychometrika, 2022 | 24 | 2022 |
Procdata: An R package for process data analysis X Tang, S Zhang, Z Wang, J Liu, Z Ying psychometrika 86 (4), 1058-1083, 2021 | 18 | 2021 |
Subtask analysis of process data through a predictive model Z Wang, X Tang, J Liu, Z Ying British Journal of Mathematical and Statistical Psychology 76 (1), 211-235, 2023 | 15 | 2023 |
Sums of possibly associated multivariate indicator functions: The Conway–Maxwell-Multinomial distribution JB Kadane, Z Wang | 3 | 2018 |
Statistical Learning for Process Data Z Wang Columbia University, 2021 | 1 | 2021 |
Statistical Analysis of Multi-Relational Network Recovery Z Wang, X Tang, J Liu Frontiers in Applied Mathematics and Statistics, 2020 | | 2020 |