| Covariance and precision matrix estimation for high-dimensional time series X Chen, M Xu, WB Wu The Annals of Statistics 41 (6), 2994-3021, 2013 | 159 | 2013 |
| BNArray: an R package for constructing gene regulatory networks from microarray data by using Bayesian network X Chen, M Chen, K Ning Bioinformatics 22 (23), 2952-2954, 2006 | 82 | 2006 |
| Gaussian and bootstrap approximations for high-dimensional U-statistics and their applications X Chen The Annals of Statistics 46 (2), 642-678, 2018 | 80 | 2018 |
| Scenario analysis of non-pharmaceutical interventions on global COVID-19 transmissions X Chen, Z Qiu arXiv preprint arXiv:2004.04529, 2020 | 73 | 2020 |
| A two-graph guided multi-task lasso approach for eqtl mapping X Chen, X Shi, X Xu, Z Wang, R Mills, C Lee, J Xu Artificial intelligence and statistics, 208-217, 2012 | 58 | 2012 |
| Randomized incomplete U-statistics in high dimensions X Chen, K Kato The Annals of Statistics 47 (6), 3127-3156, 2019 | 54 | 2019 |
| Shrinkage-to-tapering estimation of large covariance matrices X Chen, ZJ Wang, MJ McKeown IEEE Transactions on Signal Processing 60 (11), 5640-5656, 2012 | 51 | 2012 |
| Asymptotic analysis of robust LASSOs in the presence of noise with large variance X Chen, ZJ Wang, MJ McKeown IEEE Transactions on Information Theory 56 (10), 5131-5149, 2010 | 49 | 2010 |
| Finite sample change point inference and identification for high-dimensional mean vectors M Yu, X Chen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 42 | 2021 |
| Jackknife multiplier bootstrap: finite sample approximations to the U-process supremum with applications X Chen, K Kato Probability Theory and Related Fields 176, 1097-1163, 2020 | 40 | 2020 |
| Approximating high-dimensional infinite-order U-statistics: Statistical and computational guarantees Y Song, X Chen, K Kato Electronic Journal of Statistics 13 (2), 4794-4848, 2019 | 40 | 2019 |
| Hanson–Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data X Chen, Y Yang Bernoulli 27 (1), 586-614, 2021 | 37 | 2021 |
| A Bayesian Lasso via reversible-jump MCMC X Chen, ZJ Wang, MJ McKeown Signal Processing 91 (8), 1920-1932, 2011 | 35 | 2011 |
| Central limit theorems for high dimensional dependent data J Chang, X Chen, M Wu Bernoulli 30 (1), 712-742, 2024 | 33 | 2024 |
| Regularized estimation of linear functionals of precision matrices for high-dimensional time series X Chen, M Xu, WB Wu IEEE Transactions on Signal Processing 64 (24), 6459-6470, 2016 | 33* | 2016 |
| Maximum likelihood estimation of potential energy in interacting particle systems from single-trajectory data X Chen Electronic Communications in Probability 26, 1-13, 2021 | 32 | 2021 |
| Cutoff for exact recovery of gaussian mixture models X Chen, Y Yang IEEE Transactions on Information Theory 67 (6), 4223-4238, 2021 | 25 | 2021 |
| A genetically-informed, group fMRI connectivity modeling approach: application to Schizophrenia A Liu, X Chen, Z Wang, Q Xu, S Appel-Cresswell, M McKeown Biomedical Engineering, IEEE Transactions on 61 (3), 946 - 956, 2014 | 21 | 2014 |
| Wasserstein -means for clustering probability distributions Y Zhuang, X Chen, Y Yang Advances in Neural Information Processing Systems 35, 11382-11395, 2022 | 20 | 2022 |
| A robust bootstrap change point test for high-dimensional location parameter M Yu, X Chen Electronic Journal of Statistics 16 (1), 1096-1152, 2022 | 18 | 2022 |
Z. Jane WangProfessor of Electrical and Computer Engineering Dept., University of British Columbia, Canada在 ece.ubc.ca 的电子邮件经过验证
