| Functional partial linear model H Lian Journal of Nonparametric Statistics 23 (1), 115-128, 2011 | 92 | 2011 |
| Gaussian process single-index models as emulators for computer experiments RB Gramacy, H Lian Technometrics 54 (1), 30-41, 2012 | 91 | 2012 |
| Convergence of functional k-nearest neighbor regression estimate with functional responses H Lian | 84 | 2011 |
| Nonlinear functional models for functional responses in reproducing kernel Hilbert spaces H Lian Canadian Journal of Statistics 35 (4), 597-606, 2007 | 77 | 2007 |
| Bayesian quantile regression for longitudinal data models Y Luo, H Lian, M Tian Journal of Statistical Computation and Simulation 82 (11), 1635-1649, 2012 | 73 | 2012 |
| MOST: detecting cancer differential gene expression H Lian Biostatistics 9 (3), 411-418, 2008 | 69 | 2008 |
| Shrinkage estimation and selection for multiple functional regression H Lian Statistica Sinica, 51-74, 2013 | 61 | 2013 |
| Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space S Lv, H Lin, H Lian, J Huang The Annals of Statistics 46 (2), 781-813, 2018 | 56 | 2018 |
| Variable selection for high-dimensional generalized varying-coefficient models H Lian Statistica Sinica, 1563-1588, 2012 | 56 | 2012 |
| Bayesian quantile regression for single-index models Y Hu, RB Gramacy, H Lian Statistics and Computing 23, 437-454, 2013 | 55 | 2013 |
| High-dimensional vector autoregressive time series modeling via tensor decomposition D Wang, Y Zheng, H Lian, G Li Journal of the American Statistical Association 117 (539), 1338-1356, 2022 | 54 | 2022 |
| Divide-and-Conquer for Debiased -norm Support Vector Machine in Ultra-high Dimensions H Lian, Z Fan Journal of Machine Learning Research 18 (182), 1-26, 2018 | 50 | 2018 |
| Series expansion for functional sufficient dimension reduction H Lian, G Li Journal of Multivariate Analysis 124, 150-165, 2014 | 50 | 2014 |
| Shrinkage tuning parameter selection in precision matrices estimation H Lian Journal of Statistical Planning and Inference 141 (8), 2839-2848, 2011 | 47 | 2011 |
| Empirical likelihood confidence intervals for nonparametric functional data analysis H Lian Journal of Statistical Planning and Inference 142 (7), 1669-1677, 2012 | 43 | 2012 |
| Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images A Chopra, H Lian Pattern Recognition 43 (8), 2609-2619, 2010 | 43 | 2010 |
| Separation of covariates into nonparametric and parametric parts in high-dimensional partially linear additive models H Lian, H Liang, D Ruppert Statistica Sinica, 591-607, 2015 | 42 | 2015 |
| Semiparametric estimation of additive quantile regression models by two-fold penalty H Lian Journal of Business & Economic Statistics 30 (3), 337-350, 2012 | 41 | 2012 |
| Variable selection and estimation for partially linear single-index models with longitudinal data G Li, P Lai, H Lian Statistics and Computing 25, 579-593, 2015 | 39 | 2015 |
| Variance function partially linear single-index models H Lian, H Liang, RJ Carroll Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015 | 38 | 2015 |
Gaorong Li/李高荣School of Statistics, Beijing Normal UniversityVerified email at bnu.edu.cn
