Chenlei Leng (冷琛雷)
Chenlei Leng (冷琛雷)
Professor of Statistics, University of Warwick
Verifierad e-postadress på - Startsida
Citeras av
Citeras av
Shrinkage tuning parameter selection with a diverging number of parameters
H Wang, B Li, C Leng
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
Unified LASSO estimation by least squares approximation
H Wang, C Leng
Journal of the American Statistical Association 102 (479), 1039-1048, 2007
A note on the lasso and related procedures in model selection
C Leng, Y Lin, G Wahba
Statistica Sinica, 1273-1284, 2006
A note on adaptive group lasso
H Wang, C Leng
Computational statistics & data analysis 52 (12), 5277-5286, 2008
Provable subspace clustering: When LRR meets SSC
YX Wang, H Xu, C Leng
Advances in Neural Information Processing Systems, 64-72, 2013
Association between body mass index and chronic kidney disease in men and women: population-based study of Malay adults in Singapore
A Shankar, C Leng, KS Chia, D Koh, ES Tai, SM Saw, SC Lim, TY Wong
Nephrology Dialysis Transplantation 23 (6), 1910-1918, 2008
Bayesian adaptive lasso
C Leng, MN Tran, D Nott
Annals of the Institute of Statistical Mathematics 66 (2), 221-244, 2014
Semiparametric mean–covariance regression analysis for longitudinal data
C Leng, W Zhang, J Pan
Journal of the American Statistical Association 105 (489), 181-193, 2010
Penalized high-dimensional empirical likelihood
CY Tang, C Leng
Biometrika 97 (4), 905-920, 2010
High-dimensional ordinary least-squares projection for screening variables
X Wang, C Leng
arXiv preprint arXiv:1506.01782, 2015
Sparse matrix graphical models
C Leng, CY Tang
Journal of the American Statistical Association 107 (499), 1187-1200, 2012
A moving average Cholesky factor model in covariance modelling for longitudinal data
W Zhang, C Leng
Biometrika 99 (1), 141-150, 2012
Penalized empirical likelihood and growing dimensional general estimating equations
C Leng, CY Tang
Biometrika 99 (3), 703-716, 2012
On general adaptive sparse principal component analysis
C Leng, H Wang
Journal of Computational and Graphical Statistics 18 (1), 201-215, 2009
Variable selection and coefficient estimation via regularized rank regression
C Leng
Statistica Sinica, 167-181, 2010
Gradient-based kernel dimension reduction for regression
K Fukumizu, C Leng
Journal of the American Statistical Association 109 (505), 359-370, 2014
A joint modelling approach for longitudinal studies
W Zhang, C Leng, CY Tang
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015
Convex optimization procedure for clustering: theoretical revisit
C Zhu, H Xu, C Leng, S Yan
Advances in Neural Information Processing Systems, 1619-1627, 2014
Asymptotics in directed exponential random graph models with an increasing bi-degree sequence
T Yan, C Leng, J Zhu
The Annals of Statistics 44 (1), 31-57, 2016
A simple approach for varying-coefficient model selection
C Leng
Journal of Statistical Planning and Inference 139 (7), 2138-2146, 2009
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20