User profiles for "author:Cun Zhang"

Cun-Hui Zhang

- Verified email at stat.rutgers.edu - Cited by 17014

Cun Zhang

- Verified email at cumtb.edu.cn - Cited by 3969

Underground space utilization of coalmines in China: A review of underground water reservoir construction

C Zhang, F Wang, Q Bai - Tunnelling and Underground Space Technology, 2021 - Elsevier
A large number of abandoned mines with sizeable underground space resources were
formed in China. Meanwhile, for an operational mine, the protection and utilization of mine …

Coal pillar failure analysis and instability evaluation methods: A short review and prospect

C Zhang, Y Zhao, P Han, Q Bai - Engineering Failure Analysis, 2022 - Elsevier
Underground coal mining is characterized by the formation of extensive pillars. Coal pillars
serve various purposes, and their instability failure characteristics play a vital role in safety …

[HTML][HTML] Strength weakening and its micromechanism in water–rock interaction, a short review in laboratory tests

C Zhang, Q Bai, P Han, L Wang, X Wang… - International Journal of …, 2023 - Springer
Water–rock interaction (WRI) is a topic of interest in geology and geotechnical engineering.
Many geological hazards and engineering safety problems are severe under the WRI. This …

Nearly unbiased variable selection under minimax concave penalty

CH Zhang - 2010 - projecteuclid.org
We propose MC+, a fast, continuous, nearly unbiased and accurate method of penalized
variable selection in high-dimensional linear regression. The LASSO is fast and continuous …

Confidence intervals for low dimensional parameters in high dimensional linear models

CH Zhang, SS Zhang - Journal of the Royal Statistical Society …, 2014 - academic.oup.com
The purpose of this paper is to propose methodologies for statistical inference of low
dimensional parameters with high dimensional data. We focus on constructing confidence …

The sparsity and bias of the lasso selection in high-dimensional linear regression

CH Zhang, J Huang - 2008 - projecteuclid.org
Abstract Meinshausen and Buhlmann [Ann. Statist. 34 (2006) 1436–1462] showed that, for
neighborhood selection in Gaussian graphical models, under a neighborhood stability …

Adaptive Lasso for sparse high-dimensional regression models

J Huang, S Ma, CH Zhang - Statistica Sinica, 2008 - JSTOR
We study the asymptotic properties of the adaptive Lasso estimators in sparse, high-
dimensional, linear regression models when the number of covariates may increase with the …

Scaled sparse linear regression

T Sun, CH Zhang - Biometrika, 2012 - academic.oup.com
Scaled sparse linear regression jointly estimates the regression coefficients and noise level
in a linear model. It chooses an equilibrium with a sparse regression method by iteratively …

The multivariate L1-median and associated data depth

Y Vardi, CH Zhang - … of the National Academy of Sciences, 2000 - National Acad Sciences
This paper gives three related results:(i) a new, simple, fast, monotonically converging
algorithm for deriving the L 1-median of a data cloud in ℝ d, a problem that can be traced to …

Optimal rates of convergence for covariance matrix estimation

TT Cai, CH Zhang, HH Zhou - 2010 - projecteuclid.org
Covariance matrix plays a central role in multivariate statistical analysis. Significant
advances have been made recently on developing both theory and methodology for …