Articles with public access mandates - Heng LianLearn more
Not available anywhere: 60
Debiasing and distributed estimation for high-dimensional quantile regression
W Zhao, F Zhang, H Lian
IEEE transactions on neural networks and learning systems 31 (7), 2569-2577, 2019
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Automatic variable selection for longitudinal generalized linear models
G Li, H Lian, S Feng, L Zhu
Computational Statistics & Data Analysis 61, 174-186, 2013
Mandates: Research Grants Council, Hong Kong
Communication-efficient estimation of high-dimensional quantile regression
L Wang, H Lian
Analysis and Applications 18 (06), 1057-1075, 2020
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Regression adjustment for treatment effect with multicollinearity in high dimensions
L Yue, G Li, H Lian, X Wan
Computational Statistics & Data Analysis 134, 17-35, 2019
Mandates: National Natural Science Foundation of China
Robust closed-form estimators for the integer-valued GARCH (1, 1) model
Q Li, H Lian, F Zhu
Computational Statistics & Data Analysis 101, 209-225, 2016
Mandates: National Natural Science Foundation of China
Partially functional linear regression in reproducing kernel Hilbert spaces
X Cui, H Lin, H Lian
Computational Statistics & Data Analysis 150, 106978, 2020
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data
S Feng, H Lian, L Xue
Computational Statistics & Data Analysis 102, 98-109, 2016
Mandates: National Natural Science Foundation of China
Interval estimation for a proportion using a double-sampling scheme with two fallible classifiers
SF Qiu, H Lian, GY Zou, XS Zeng
Statistical Methods in Medical Research 27 (8), 2478-2503, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada, National …
Nonconcave penalized estimation for partially linear models with longitudinal data
Y Yang, G Li, H Lian
Statistics 50 (1), 43-59, 2016
Mandates: National Natural Science Foundation of China
Distributed learning for sketched kernel regression
H Lian, J Liu, Z Fan
Neural Networks 143, 368-376, 2021
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Some asymptotic properties for functional canonical correlation analysis
H Lian
Journal of Statistical Planning and Inference 153, 1-10, 2014
Mandates: National Natural Science Foundation of China
Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space
Y Wang, Y Zhou, R Li, H Lian
Computational Statistics & Data Analysis 168, 107388, 2022
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
A principal varying-coefficient model for quantile regression: Joint variable selection and dimension reduction
W Zhao, X Jiang, H Lian
Computational Statistics & Data Analysis 127, 269-280, 2018
Mandates: National Natural Science Foundation of China
Partially linear structure identification in generalized additive models with NP-dimensionality
H Lian, P Du, YZ Li, H Liang
Computational Statistics & Data Analysis 80, 197-208, 2014
Mandates: National Natural Science Foundation of China
Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces
R Li, W Lu, Z Zhu, H Lian
Journal of Statistical Planning and Inference 211, 162-170, 2021
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Faster convergence rate for functional linear regression in reproducing kernel Hilbert spaces
F Zhang, W Zhang, R Li, H Lian
Statistics 54 (1), 167-181, 2020
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Empirical likelihood for single-index models with responses missing at random
LG Xue, H Lian
Science China Mathematics 59, 1187-1207, 2016
Mandates: National Natural Science Foundation of China
Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection
F Zhang, R Li, H Lian
Information Sciences 547, 244-254, 2021
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Identification and estimation in quantile varying-coefficient models with unknown link function
L Yue, G Li, H Lian
Test 28, 1251-1275, 2019
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Estimation and variable selection for proportional response data with partially linear single-index models
W Zhao, H Lian, R Zhang, P Lai
Computational Statistics & Data Analysis 96, 40-56, 2016
Mandates: National Natural Science Foundation of China
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