| Profile likelihood inferences on semiparametric varying-coefficient partially linear models J Fan, T Huang Bernoulli 11 (6), 1031-1057, 2005 | 865 | 2005 |
| Analysis of longitudinal data with semiparametric estimation of covariance function J Fan, T Huang, R Li Journal of the American Statistical Association 102 (478), 632-641, 2007 | 284 | 2007 |
| Model selection for Gaussian mixture models T Huang, H Peng, K Zhang Statistica Sinica, 147-169, 2017 | 180 | 2017 |
| Penalized least squares for single index models H Peng, T Huang Journal of Statistical Planning and Inference 141 (4), 1362-1379, 2011 | 103 | 2011 |
| Detection of DNA copy number alterations using penalized least squares regression T Huang, B Wu, P Lizardi, H Zhao Bioinformatics 21 (20), 3811-3817, 2005 | 99 | 2005 |
| 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 | 97 | 2005 |
| Nonparametric fixed effects model for panel data with locally stationary regressors Y Pei, T Huang, J You Journal of Econometrics 202 (2), 286-305, 2018 | 27 | 2018 |
| Statistical methods in proteomics W Yu, B Wu, T Huang, X Li, K Williams, H Zhao Handbook of Engineering Statistics, 623-636, 2006 | 25 | 2006 |
| Estimation and identification of a varying-coefficient additive model for locally stationary processes L Hu, T Huang, J You Journal of the American Statistical Association 114 (527), 1191-1204, 2019 | 23 | 2019 |
| Semiparametric model average prediction in panel data analysis T Huang, J Li Journal of Nonparametric Statistics 30 (1), 125-144, 2018 | 17 | 2018 |
| Bias reduction for nonparametric and semiparametric regression models MY Cheng, T Huang, P Liu, H Peng Statistica Sinica 28 (4), 2749-2770, 2018 | 17 | 2018 |
| Unsupervised learning of mixture regression models for longitudinal data P Xu, H Peng, T Huang Computational Statistics & Data Analysis 125, 44-56, 2018 | 12 | 2018 |
| Longitudinal covariate-adjusted response-adaptive randomized designs T Huang, Z Liu, F Hu Journal of Statistical Planning and Inference 143 (10), 1816-1827, 2013 | 11 | 2013 |
| Variance estimation for semiparametric regression models by local averaging J Zhao, H Peng, T Huang Test 27 (2), 453-476, 2018 | 10 | 2018 |
| Robust inference in varying-coefficient additive models for longitudinal/functional data L Hu, T Huang, J You Statistica Sinica 31 (2), 773-796, 2021 | 7 | 2021 |
| Two-step estimation of time-varying additive model for locally stationary time series L Hu, T Huang, J You Computational Statistics & Data Analysis 130, 94-110, 2019 | 7 | 2019 |
| A general quantile residual life model for length‐biased right‐censored data F Bai, X Chen, Y Chen, T Huang Scandinavian Journal of Statistics 46 (4), 1191-1205, 2019 | 5 | 2019 |
| General covariate-adaptive randomization targeting unequal allocation ratio Z Liu, T Ban, T Huang Journal of Statistical Planning and Inference 191, 68-80, 2017 | 5 | 2017 |
| Efficient and ethical adaptive clinical trial designs to detect treatment-covariate interaction SW Hyun, T Huang, H Zhu Modern adaptive randomized clinical trials: Statistical and practical …, 2016 | 3 | 2016 |
| Network-based clustering for varying coefficient panel data models Y Pei, T Huang, H Peng, J You Journal of Business & Economic Statistics 40 (2), 578-594, 2022 | 2 | 2022 |
