| Bayesian Tobit quantile regression with single-index models K Zhao, H Lian Journal of Statistical Computation and Simulation 85 (6), 1247-1263, 2015 | 30 | 2015 |
| Bayesian quantile regression for partially linear additive models Y Hu, K Zhao, H Lian Statistics and Computing 25, 651-668, 2015 | 29 | 2015 |
| Projected spline estimation of the nonparametric function in high-dimensional partially linear models for massive data H Lian, K Zhao, S Lv The Annals of Statistics 47 (5), 2922-2949, 2019 | 23 | 2019 |
| Revenue-based attribution modeling for online advertising K Zhao, SH Mahboobi, SR Bagheri International Journal of Market Research 61 (2), 195-209, 2019 | 21 | 2019 |
| Shapley value methods for attribution modeling in online advertising K Zhao, SH Mahboobi, SR Bagheri arXiv preprint arXiv:1804.05327, 2018 | 17 | 2018 |
| The Expectation–Maximization approach for Bayesian quantile regression K Zhao, H Lian Computational Statistics & Data Analysis 96, 1-11, 2016 | 16 | 2016 |
| A note on the efficiency of composite quantile regression K Zhao, H Lian Journal of Statistical Computation and Simulation 86 (7), 1334-1341, 2016 | 14 | 2016 |
| Spline estimator for simultaneous variable selection and constant coefficient identification in high-dimensional generalized varying-coefficient models H Lian, J Meng, K Zhao Journal of Multivariate Analysis 141, 81-103, 2015 | 10 | 2015 |
| Parametric and semiparametric reduced-rank regression with flexible sparsity H Lian, S Feng, K Zhao Journal of Multivariate Analysis 136, 163-174, 2015 | 5 | 2015 |
| Variational inferences for partially linear additive models with variable selection K Zhao, H Lian Computational Statistics & Data Analysis 80, 223-239, 2014 | 5 | 2014 |
| Sparsistent and constansistent estimation of the varying-coefficient model with a diverging number of predictors K Zhao, H Lian Communications in Statistics-Theory and Methods 45 (21), 6385-6399, 2016 | 4 | 2016 |
| Bayesian Additive Machine: classification with a semiparametric discriminant function Y Hu, K Zhao, H Lian Journal of Statistical Computation and Simulation 86 (4), 682-695, 2016 | 3 | 2016 |
| Variable selection in additive quantile regression using nonconcave penalty K Zhao, H Lian Statistics 50 (6), 1276-1289, 2016 | 1 | 2016 |
| Time-varying marketing mix modeling K Zhao, S Bagheri Marketing Science Conference 2016 - INFORMS, 2016 | | 2016 |
Heng LianDepartment of Mathematics, City University of Hong KongGeverifieerd e-mailadres voor cityu.edu.hk
