Prof. LIAN Heng (練恒)
Research Output
- 2015
Variance 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: 30Variable selection for fixed effects varying coefficient models
Li, G. R., Lian, H., Lai, P. & Peng, H., 2015, In: Acta Mathematica Sinica, English Series. 31, 1, p. 91-110Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 15- 2014
Partially linear structure identification in generalized additive models with NP-dimensionality
Lian, H., Du, P., Li, Y. & Liang, H., Dec 2014, In: Computational Statistics and Data Analysis. 80, p. 197-208Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 8Variational inferences for partially linear additive models with variable selection
Zhao, K. & Lian, H., Dec 2014, In: Computational Statistics and Data Analysis. 80, p. 223-239Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 5Empirical likelihood inference for general transformation models with right censored data
Li, J., Huang, Z. & Lian, H., 1 Nov 2014, In: Statistics and Computing. 24, 6, p. 985-995Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 1Some asymptotic properties for functional canonical correlation analysis
Lian, H., Oct 2014, In: Journal of Statistical Planning and Inference. 153, p. 1-10Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9Convergence and sparsity of Lasso and group Lasso in high-dimensional generalized linear models
Wang, L., You, Y. & Lian, H., 3 Jul 2014, In: Statistical Papers. 56, 3, p. 819-828Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 19SCAD-penalized regression in additive partially linear proportional hazards models with an ultra-high-dimensional linear part
Lian, H., Li, J. & Tang, X., Mar 2014, In: Journal of Multivariate Analysis. 125, p. 50-64Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 4Adaptive rates of contraction of posterior distributions in Bayesian wavelet regression
Lian, H., Feb 2014, In: Journal of Statistical Planning and Inference. 145, p. 92-101Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3Series expansion for functional sufficient dimension reduction
Lian, H. & Li, G., Feb 2014, In: Journal of Multivariate Analysis. 124, p. 150-165Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 38Estimation and variable selection for generalised partially linear single-index models
Lai, P., Tian, Y. & Lian, H., Jan 2014, In: Journal of Nonparametric Statistics. 26, 1, p. 171-185Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7Estimation by polynomial splines with variable selection in additive Cox models
Zhang, S., Wang, L. & Lian, H., Jan 2014, In: Statistics. 48, 1, p. 67-80Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6Generalized additive partial linear models for clustered data with diverging number of covariates using gee
Lian, H., Liang, H. & Wang, L., Jan 2014, In: Statistica Sinica. 24, 1, p. 173-196Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 33Semiparametric bayesian information criterion for model selection in ultra-high dimensional additive models
Lian, H., Jan 2014, In: Journal of Multivariate Analysis. 123, p. 304-310Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 7Variable selection for general transformation models with ranking data
Li, J., Gu, M., Zhang, R. & Lian, H., Jan 2014, In: Statistics. 48, 1, p. 81-100Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 2- 2013
Generalized additive partial linear models with high-dimensional covariates
Lian, H. & Liang, H., Dec 2013, In: Econometric Theory. 29, 6, p. 1136-1161Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 10Polynomial spline estimation for generalized varying coefficient partially linear models with a diverging number of components
Wang, L., Lai, P. & Lian, H., Nov 2013, In: Metrika. 76, 8, p. 1083-1103Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 3Empirical likelihood for partially linear proportional hazards models with growing dimensions
Tang, X., Li, J. & Lian, H., Oct 2013, In: Journal of Multivariate Analysis. 121, p. 22-32Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9Variable selection for high-dimensional varying coefficient partially linear models via nonconcave penalty
Hong, Z., Hu, Y. & Lian, H., Oct 2013, In: Metrika. 76, 7, p. 887-908Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 6A simple and efficient algorithm for fused lasso signal approximator with convex loss function
Wang, L., You, Y. & Lian, H., Aug 2013, In: Computational Statistics. 28, 4, p. 1699-1714Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9