ML estimation for factor analysis: EM or non-EM? JH Zhao, PLH Yu, Q Jiang
Statistics and computing 18 (2), 109-123, 2008
56 2008 Probabilistic PCA for t distributions J Zhao, Q Jiang
Neurocomputing 69 (16-18), 2217-2226, 2006
54 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
34 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
8 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
8 2015 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 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
4 2023 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 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 34 (12), 10683-10697, 2022
3 2022 Matrix-based vs. vector-based linear discriminant analysis: A comparison of regularized variants on multivariate time series data J Zhao, H Liang, S Li, Z Yang, Z Wang
Information Sciences 654, 119872, 2024
1 2024 A novel robust meta-analysis model using the Y Wang, J Zhao, F Jiang, L Shi, J Pan
arXiv preprint arXiv:2406.04150, 2024
2024 A safe screening rule with bi-level optimization of ν support vector machine Z Yang, W Chen, H Zhang, Y Xu, L Shi, J Zhao
Pattern Recognition, 110644, 2024
2024 
Philip L. H. YuDepartment of Mathematics and Information Technology, The Education University of Hong KongOverená e-mailová adresa na: eduhk.hk
