| ML estimation for factor analysis: EM or non-EM? JH Zhao, PLH Yu, Q Jiang Statistics and computing 18 (2), 109-123, 2008 | 55 | 2008 |
| Probabilistic PCA for t distributions J Zhao, Q Jiang Neurocomputing 69 (16-18), 2217-2226, 2006 | 52 | 2006 |
| Fast ML estimation for the mixture of factor analyzers via an ECM algorithm JH Zhao, LH Philip IEEE transactions on neural networks 19 (11), 1956-1961, 2008 | 42 | 2008 |
| Bilinear probabilistic principal component analysis J Zhao, LH Philip, JT Kwok IEEE Transactions on Neural Networks and Learning Systems 23 (3), 492-503, 2012 | 33 | 2012 |
| A note on variational Bayesian factor analysis J Zhao, LH Philip Neural Networks 22 (7), 988-997, 2009 | 27 | 2009 |
| Mixture model selection via hierarchical BIC J Zhao, L Jin, L Shi Computational Statistics & Data Analysis 88, 139-153, 2015 | 25 | 2015 |
| Two-stage regularized linear discriminant analysis for 2-D data J Zhao, L Shi, J Zhu IEEE Transactions on Neural Networks and Learning Systems 26 (8), 1669-1681, 2014 | 24 | 2014 |
| Efficient model selection for mixtures of probabilistic PCA via hierarchical BIC J Zhao IEEE Transactions on Cybernetics 44 (10), 1871-1883, 2014 | 22 | 2014 |
| Separable linear discriminant analysis J Zhao, LH Philip, L Shi, S Li Computational Statistics & Data Analysis 56 (12), 4290-4300, 2012 | 22 | 2012 |
| Automated learning of factor analysis with complete and incomplete data J Zhao, L Shi Computational statistics & data analysis 72, 205-218, 2014 | 19 | 2014 |
| Recovering network structures based on evolutionary game dynamics via secure dimensional reduction L Shi, C Shen, Q Shi, Z Wang, J Zhao, X Li, S Boccaletti IEEE Transactions on Network Science and Engineering 7 (3), 2027-2036, 2020 | 17 | 2020 |
| Case deletion diagnostics for GMM estimation L Shi, J Lu, J Zhao, G Chen Computational statistics & data analysis 95, 176-191, 2016 | 7 | 2016 |
| Stepwise local influence in generalized autoregressive conditional heteroskedasticity models L Shi, MM Rahman, W Gan, J Zhao Journal of Applied Statistics 42 (2), 428-444, 2015 | 7 | 2015 |
| Nano-scale pore characteristics of organic-rich Wufeng and Longmaxi Shales in the Sichuan Basin, China J Zhao, Z Jin, Z Jin, Y Geng, X Wen, C Yan Journal of Nanoscience and Nanotechnology 17 (9), 6721-6731, 2017 | 6 | 2017 |
| Model selection for mixtures of factor analyzers via hierarchical BIC J Zhao, PL Yu, L Shi Yunnan: School of Statistics and Mathematics, Yunnan University of Finance …, 2013 | 5 | 2013 |
| Pseudo bidirectional linear discriminant analysis for multivariate time series classification J Zhao, F Sun, H Liang, X Ma, X Li, J He IEEE Access 9, 88674-88684, 2021 | 4 | 2021 |
| Robust factored principal component analysis for matrix-valued outlier accommodation and detection X Ma, J Zhao, Y Wang, C Shang, F Jiang Computational Statistics & Data Analysis 179, 107657, 2023 | 2 | 2023 |
| Crop cultivar mixtures stabilize productivity, partly via facilitation, when conditions are less benign Y Su, RP Yu, HS Xu, JH Sun, JH Zhao, WP Zhang, H Yang, S Surigaoge, ... Field Crops Research 302, 109046, 2023 | 1 | 2023 |
| Robust Bilinear Probabilistic PCA Using a Matrix Variate t Distribution J Zhao, X Ma, L Shi, Z Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 1 | 2022 |
| Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion J Zhao, C Shang, S Li, L Xin, PLH Yu Advances in Data Analysis and Classification, 1-27, 2024 | | 2024 |
Philip L. H. YuDepartment of Mathematics and Information Technology, The Education University of Hong KongVerified email at eduhk.hk
