Prof. LIAN Heng (練恒)
Research Output
- 2017
Quantile regression for the single-index coefficient model
Zhao, W., Lian, H. & Liang, H., 1 Aug 2017, In: Bernoulli. 23, 3, p. 1997-2027Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 16- 2016
Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach
Feng, S., Lian, H. & Zhu, F., 1 Nov 2016, In: Computational Statistics and Data Analysis. 103, p. 139-150Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Sparsistent and constansistent estimation of the varying-coefficient model with a diverging number of predictors
Zhao, K. & Lian, H., 1 Nov 2016, In: Communications in Statistics - Theory and Methods. 45, 21, p. 6385-6399Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4Variable selection in additive quantile regression using nonconcave penalty
Zhao, K. & Lian, H., 1 Nov 2016, In: Statistics. 50, 6, p. 1276-1289Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data
Feng, S., Lian, H. & Xue, L., 1 Oct 2016, In: Computational Statistics and Data Analysis. 102, p. 98-109Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 15Local asymptotics for nonparametric quantile regression with regression splines
Zhao, W. & Lian, H., 1 Oct 2016, In: Statistics and Probability Letters. 117, p. 209-215Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1Mean and quantile boosting for partially linear additive models
Tang, X. & Lian, H., 1 Sept 2016, In: Statistics and Computing. 26, 5, p. 997-1008Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3Minimax convergence rates for kernel CCA
Fan, Z. & Lian, H., 1 Sept 2016, In: Journal of Multivariate Analysis. 150, p. 183-190Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4Robust closed-form estimators for the integer-valued GARCH (1,1) model
Li, Q., Lian, H. & Zhu, F., 1 Sept 2016, In: Computational Statistics and Data Analysis. 101, p. 209-225Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 18Bayesian composite quantile regression for linear mixed-effects models
Tian, Y., Lian, H. & Tian, M., 25 Jul 2016, (Online published) In: Communications in Statistics - Theory and Methods. 46, 15, p. 7717-7731Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 11Empirical likelihood for single-index models with responses missing at random
Xue, L. & Lian, H., 1 Jun 2016, In: Science China Mathematics. 59, 6, p. 1187-1207Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 8A note on the efficiency of composite quantile regression
Zhao, K. & Lian, H., 2 May 2016, In: Journal of Statistical Computation and Simulation. 86, 7, p. 1334-1341Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 12Estimation and variable selection for proportional response data with partially linear single-index models
Zhao, W., Lian, H., Zhang, R. & Lai, P., 1 Apr 2016, In: Computational Statistics and Data Analysis. 96, p. 40-56Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6The Expectation-Maximization approach for Bayesian quantile regression
Zhao, K. & Lian, H., 1 Apr 2016, In: Computational Statistics and Data Analysis. 96, p. 1-11Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 15KERNEL ADDITIVE SLICED INVERSE REGRESSION
Lian, H. & Wang, Q., Apr 2016, In: Statistica Sinica. 26, 2, p. 527-546Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1Bayesian Additive Machine: classification with a semiparametric discriminant function
Hu, Y., Zhao, K. & Lian, H., 3 Mar 2016, In: Journal of Statistical Computation and Simulation. 86, 4, p. 682-695Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2Efficient estimation for the heteroscedastic single-index varying coefficient models
Lai, P., Zhang, Q., Lian, H. & Wang, Q., 1 Mar 2016, In: Statistics and Probability Letters. 110, p. 84-93Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7Nonconvex penalized reduced rank regression and its oracle properties in high dimensions
Lian, H. & Kim, Y., 1 Jan 2016, In: Journal of Multivariate Analysis. 143, p. 383-393Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3Separation of linear and index covariates in partially linear single-index models
Lian, H. & Liang, H., 1 Jan 2016, In: Journal of Multivariate Analysis. 143, p. 56-70Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 12Model selection of hierarchically structured covariates using elastic net
Qiao, W., Lian, H. & Xie, M.-G., 2016, In: Electronic Journal of Statistics. 10, 2, p. 3775-3806 A67.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1
