Banded Spatio-Temporal Autoregressions Z Gao, Y Ma, H Wang, Q Yao Journal of Econometrics 208, 211-230, 2019 | 30 | 2019 |
A high dimensional two-sample test under a low dimensional factor structure Y Ma, W Lan, H Wang Journal of Multivariate Analysis 140, 162-170, 2015 | 26 | 2015 |
A naive least squares method for spatial autoregression with covariates Y Ma, R Pan, T Zou, H Wang Statistica Sinica 30 (2), 653-672, 2020 | 13 | 2020 |
Sparse Spatio-Temporal Autoregressions by Profiling and Bagging Y Ma, S Guo, H Wang Journal of Econometrics 232 (1), 132-147, 2021 | 8 | 2021 |
Sequential Model Averaging for High Dimensional Linear Regression Models W Lan, Y Ma, J Zhao, H Wang, CL Tsai Statistica Sinica 28, 449-469, 2018 | 7 | 2018 |
Optimal subsampling bootstrap for massive data Y Ma, C Leng, H Wang Journal of Business & Economic Statistics 42 (1), 174-186, 2024 | 4 | 2024 |
Approximate least squares estimation for spatial autoregressive models with covariates Y Ma, W Lan, F Zhou, H Wang Computational statistics & data analysis 143, 106833, 2020 | 4 | 2020 |
Semiparametric model for covariance regression analysis J Liu, Y Ma, H Wang Computational Statistics & Data Analysis 142, 106815, 2020 | 3 | 2020 |
Testing predictor significance with ultra high dimensional multivariate responses Y Ma, W Lan, H Wang Computational statistics & data analysis 83, 275-286, 2015 | 3 | 2015 |
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques X Li, Y Gao, H Chang, D Huang, Y Ma, R Pan, H Qi, F Wang, S Wu, K Xu, ... arXiv preprint arXiv:2403.11163, 2024 | | 2024 |