| Discussion: Latent variable graphical model selection via convex optimization Z Ren, HH Zhou The Annals of Statistics 40 (4), 1989-1996, 2012 | 601* | 2012 |
| Asymptotic normality and optimalities in estimation of large Gaussian graphical models Z Ren, T Sun, CH Zhang, HH Zhou | 291 | 2015 |
| Estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation TT Cai, Z Ren, HH Zhou | 260 | 2016 |
| Robust covariance and scatter matrix estimation under Huber’s contamination model M Chen, C Gao, Z Ren The Annals of Statistics 46 (5), 1932-1960, 2018 | 182 | 2018 |
| Optimal rates of convergence for estimating Toeplitz covariance matrices TT Cai, Z Ren, HH Zhou Probability Theory and Related Fields 156 (1), 101-143, 2013 | 120 | 2013 |
| A general decision theory for Huber’s -contamination model M Chen, C Gao, Z Ren | 104 | 2016 |
| FastGGM: an efficient algorithm for the inference of Gaussian graphical model in biological networks T Wang, Z Ren, Y Ding, Z Fang, Z Sun, ML MacDonald, RA Sweet, ... PLoS computational biology 12 (2), e1004755, 2016 | 77 | 2016 |
| User-friendly covariance estimation for heavy-tailed distributions Y Ke, S Minsker, Z Ren, Q Sun, WX Zhou Statistical Science 34 (3), 454-471, 2019 | 74 | 2019 |
| Minimax estimation in sparse canonical correlation analysis C Gao, Z Ma, Z Ren, HH Zhou | 69 | 2015 |
| Asymptotically normal and efficient estimation of covariate-adjusted Gaussian graphical model M Chen, Z Ren, H Zhao, H Zhou Journal of the American Statistical Association 111 (513), 394-406, 2016 | 56 | 2016 |
| Sparse CCA via precision adjusted iterative thresholding M Chen, C Gao, Z Ren, HH Zhou arXiv preprint arXiv:1311.6186, 2013 | 51 | 2013 |
| SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks R Zhang, Z Ren, W Chen PLoS computational biology 14 (8), e1006369, 2018 | 45 | 2018 |
| Transcriptome-wide and differential expression network analyses of childhood asthma in nasal epithelium E Forno, R Zhang, Y Jiang, S Kim, Q Yan, Z Ren, YY Han, N Boutaoui, ... Journal of Allergy and Clinical Immunology 146 (3), 671-675, 2020 | 30 | 2020 |
| Latent dynamic factor analysis of high-dimensional neural recordings H Bong, Z Liu, Z Ren, M Smith, V Ventura, RE Kass Advances in neural information processing systems 33, 16446-16456, 2020 | 12 | 2020 |
| Tuning-free heterogeneous inference in massive networks Z Ren, Y Kang, Y Fan, J Lv Journal of the American Statistical Association, 2019 | 11 | 2019 |
| Minimax estimation of large precision matrices with bandable Cholesky factor Y Liu, Z Ren | 10 | 2020 |
| Transcriptomic congruence analysis for evaluating model organisms W Zong, T Rahman, L Zhu, X Zeng, Y Zhang, J Zou, S Liu, Z Ren, JJ Li, ... Proceedings of the National Academy of Sciences 120 (6), e2202584120, 2023 | 7 | 2023 |
| Variable screening with multiple studies T Ma, Z Ren, GC Tseng Statistica Sinica 30 (2), 925-953, 2020 | 6 | 2020 |
| Variable selection for a categorical varying-coefficient model with identifications for determinants of body mass index J Gao, B Peng, Z Ren, X Zhang | 5 | 2017 |
| High-dimension to high-dimension screening for detecting genome-wide epigenetic and noncoding RNA regulators of gene expression H Ke, Z Ren, J Qi, S Chen, GC Tseng, Z Ye, T Ma Bioinformatics 38 (17), 4078-4087, 2022 | 3 | 2022 |
Mengjie ChenUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
