| Nonconcave penalized likelihood with a diverging number of parameters J Fan, H Peng | 1158 | 2004 |
| Robust Rank Correlation Based Screening G Li, H Peng, J Zhang, L Zhu Arxiv preprint arXiv:1012.4255, 2012 | 367 | 2012 |
| On sliced inverse regression with high-dimensional covariates L Zhu, B Miao, H Peng Journal of the American Statistical Association 101 (474), 630-643, 2006 | 310 | 2006 |
| Model selection for Gaussian mixture models T Huang, H Peng, K Zhang Statistica Sinica, 147-169, 2017 | 172 | 2017 |
| Model selection in linear mixed effect models H Peng, Y Lu Journal of Multivariate Analysis 109, 109-129, 2012 | 150 | 2012 |
| Nonconcave penalized M-estimation with a diverging number of parameters G Li, H Peng, L Zhu Statistica Sinica, 391-419, 2011 | 128 | 2011 |
| Nonparametric transition-based tests for jump diffusions Y Ait-Sahalia, J Fan, H Peng Journal of the American Statistical Association 104 (487), 1102-1116, 2009 | 108 | 2009 |
| Penalized least squares for single index models H Peng, T Huang Journal of Statistical Planning and Inference 141 (4), 1362-1379, 2011 | 97 | 2011 |
| Semilinear high-dimensional model for normalization of microarray data: a theoretical analysis and partial consistency J Fan, H Peng, T Huang Journal of the American Statistical Association 100 (471), 781-796, 2005 | 95 | 2005 |
| Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data MY Cheng, T Honda, J Li, H Peng | 73 | 2014 |
| Two samples tests for functional data C Zhang, H Peng, JT Zhang Communications in Statistics—Theory and Methods 39 (4), 559-578, 2010 | 65 | 2010 |
| Cancer patients' attitudes towards Chinese medicine: a Hong Kong survey Y Lam, C Cheng, H Peng, C Law, X Huang, Z Bian Chinese Medicine 4, 1-8, 2009 | 55 | 2009 |
| Simultaneous confidence band and hypothesis test in generalised varying-coefficient models W Zhang, H Peng Journal of Multivariate Analysis 101 (7), 1656-1680, 2010 | 52 | 2010 |
| Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics X Hu, J Zhao, Z Lin, Y Wang, H Peng, H Zhao, X Wan, C Yang Proceedings of the National Academy of Sciences 119 (28), e2106858119, 2022 | 51* | 2022 |
| Selection and combination of biomarkers using ROC method for disease classification and prediction H Lin, L Zhou, H Peng, XH Zhou Canadian Journal of Statistics 39 (2), 324-343, 2011 | 46 | 2011 |
| MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy Q Cheng, Y Yang, X Shi, KF Yeung, C Yang, H Peng, J Liu NAR genomics and bioinformatics 2 (2), lqaa028, 2020 | 36 | 2020 |
| Dimension reduction and predictor selection in semiparametric models Z Yu, L Zhu, H Peng, L Zhu Biometrika 100 (3), 641-654, 2013 | 35 | 2013 |
| Simultaneous confidence bands and hypothesis testing for single-index models G Li, H Peng, K Dong, T Tong Statistica Sinica, 937-955, 2014 | 32 | 2014 |
| Smoothed rank correlation of the linear transformation regression model H Lin, H Peng Computational Statistics & Data Analysis 57 (1), 615-630, 2013 | 31 | 2013 |
| ICA with sparse connections: Revisited K Zhang, H Peng, L Chan, A Hyvärinen Independent Component Analysis and Signal Separation: 8th International …, 2009 | 31 | 2009 |
Gaorong Li/李高荣School of Statistics, Beijing Normal University在 bnu.edu.cn 的电子邮件经过验证
