Cun Hui Zhang

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All published works

Action	Title	Year	Authors
+	Comments on: ℓ 1-penalization for mixture regression models	2010	Tingni Sun Cun Hui Zhang
+	Adaptive Lasso for sparse high-dimensional regression models	2008	Jian Huang Shuangge Ma Cun Hui Zhang

Common Coauthors

Coauthor	Papers Together
Jian Huang	1
Tingni Sun	1
Shuangge Ma	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	2
+	Weak Convergence and Empirical Processes: With Applications to Statistics	1996	Jon A. Wellner	1
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	1
+ PDF Chat	Asymptotics for lasso-type estimators	2000	Wenjiang Fu Keith Knight	1
+ PDF Chat	Asymptotic properties of bridge estimators in sparse high-dimensional regression models	2008	Jian Huang Joël L. Horowitz Shuangge Ma	1
+	Boosting for high-dimensional linear models	2006	Peter Bühlmann	1
+ PDF Chat	The Dantzig selector and sparsity oracle inequalities	2009	Vladimir Koltchinskii	1
+ PDF Chat	Nonconcave penalized likelihood with a diverging number of parameters	2004	Jianqing Fan Heng Peng	1
+ PDF Chat	Asymptotic Behavior of $M$-Estimators of $p$ Regression Parameters when $p^2/n$ is Large. I. Consistency	1984	Stephen Portnoy	1
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	1
+ PDF Chat	Asymptotic Behavior of $M$ Estimators of $p$ Regression Parameters when $p^2 / n$ is Large; II. Normal Approximation	1985	Stephen Portnoy	1
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	2000	Arthur E. Hoerl Robert W. Kennard	1
+	Persistence in high-dimensional linear predictor selection and the virtue of overparametrization	2004	Eitan Greenshtein Ya’acov Ritov	1
+ PDF Chat	Marginal asymptotics for the “large $p$, small $n$” paradigm: With applications to microarray data	2007	Michael R. Kosorok Shuangge Ma	1
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	1
+	A Statistical View of Some Chemometrics Regression Tools	1993	lldiko E. Frank Jerome H. Friedman	1
+ PDF Chat	On the conditions used to prove oracle results for the Lasso	2009	Sara A. van de Geer Peter Bühlmann	1
+ PDF Chat	Gene expression analysis with the parametric bootstrap	2001	Mark J. van der Laan	1
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	1
+	Sure Independence Screening for Ultra-High Dimensional Feature Space	2006	Jianqing Fan Jinchi Lv	1
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	1
+ PDF Chat	The sparsity and bias of the Lasso selection in high-dimensional linear regression	2008	Cun-Hui Zhang Jian Huang	1
+ PDF Chat	Variable selection using MM algorithms	2005	David R. Hunter Runze Li	1
+	A NOTE ON THE LASSO AND RELATED PROCEDURES IN MODEL SELECTION	2006	Chenlei Leng Yi Lin Grace Wahba	1
+ PDF Chat	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	1