Prof. LIAN Heng (練恒)
Research Output
- 2016
Nonconcave penalized estimation for partially linear models with longitudinal data
Yang, Y., Li, G. & Lian, H., 2016, In: Statistics. 50, 1, p. 43-59Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 11On invertibility of the C-matrix in quadratic inference functions
Lian, H., 2016, In: Stat. 5, 1, p. 279-285Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Posterior convergence for Bayesian functional linear regression
Lian, H., Choi, T., Meng, J. & Jo, S., 2016, In: Journal of Multivariate Analysis. 150, p. 27-41Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1- 2015
Empirical likelihood for the class of single index hazard regression models
Li, J., Guo, M., Du, C., Zhang, R. & Lian, H., 1 Dec 2015, In: Journal of the Korean Statistical Society. 44, 4, p. 619-631Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1Functional sufficient dimension reduction: Convergence rates and multiple functional case
Lian, H., 1 Dec 2015, In: Journal of Statistical Planning and Inference. 167, p. 58-68Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7Simultaneous estimation of linear conditional quantiles with penalized splines
Lian, H., Meng, J. & Fan, Z., 1 Oct 2015, In: Journal of Multivariate Analysis. 141, p. 1-21Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6Minimax prediction for functional linear regression with functional responses in reproducing kernel Hilbert spaces
Lian, H., 1 Sept 2015, In: Journal of Multivariate Analysis. 140, p. 395-402Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 18Variance function additive partial linear models
Fang, Y., Lian, H., Liang, H. & Ruppert, D., 19 Aug 2015, In: Electronic Journal of Statistics. 9, 2, p. 2793-2827Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3Gaussian Process Models for Non Parametric Functional Regression with Functional Responses
Tang, X., Hong, Z., Hu, Y. & Lian, H., 18 Aug 2015, In: Communications in Statistics - Theory and Methods. 44, 16, p. 3428-3445Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3Quantile regression for dynamic partially linear varying coefficient time series models
Lian, H., 4 Jul 2015, In: Journal of Multivariate Analysis. 141, p. 49-66Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10Spline estimator for simultaneous variable selection and constant coefficient identification in high-dimensional generalized varying-coefficient models
Lian, H., Meng, J. & Zhao, K., 4 Jul 2015, In: Journal of Multivariate Analysis. 141, p. 81-103Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6Bayesian quantile regression for partially linear additive models
Hu, Y., Zhao, K. & Lian, H., May 2015, In: Statistics and Computing. 25, 3, p. 651-668Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 23Variable selection and estimation for partially linear single-index models with longitudinal data
Li, G., Lai, P. & Lian, H., May 2015, In: Statistics and Computing. 25, 3, p. 579-593Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 39Bayesian Tobit quantile regression with single-index models
Zhao, K. & Lian, H., 13 Apr 2015, In: Journal of Statistical Computation and Simulation. 85, 6, p. 1247-1263Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 22Estimation of a sparse and spiked covariance matrix
Lian, H. & Fan, Z., 3 Apr 2015, In: Journal of Nonparametric Statistics. 27, 2, p. 241-252Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Parametric and semiparametric reduced-rank regression with flexible sparsity
Lian, H., Feng, S. & Zhao, K., 1 Apr 2015, In: Journal of Multivariate Analysis. 136, p. 163-174Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4Separation of covariates into nonparametric and parametric parts in high-dimensional partially linear additive models
Lian, H., Liang, H. & Ruppert, D., 1 Apr 2015, In: Statistica Sinica. 25, 2, p. 591-607Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 36A note on application of nesterov’s method in solving lasso-type problems
Tian, Y. & Lian, H., 1 Jan 2015, In: Communications in Statistics: Simulation and Computation. 44, 7, p. 1673-1682 A002.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Polynomial spline approach for variable selection and estimation in varying coefficient models for time series data
Lai, P., Meng, J. & Lian, H., 1 Jan 2015, In: Statistics and Probability Letters. 96, p. 21-27Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1Variance function partially linear single-index models
Lian, H., Liang, H. & Carroll, R. J., Jan 2015, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 77, 1, p. 171-194Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 30
