Hongliang Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates	2015	Kevin He Yanming Li Ji Zhu Hongliang Liu Jeffrey E. Lee Christopher I. Amos Terry Hyslop Jiashun Jin Huazhen Lin Qinyi Wei

Common Coauthors

Coauthor	Papers Together
Huazhen Lin	1
Christopher I. Amos	1
Qinyi Wei	1
Terry Hyslop	1
Kevin He	1
Yanming Li	1
Yi Li	1
Ji Zhu	1
Jiashun Jin	1
Jeffrey E. Lee	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Boosting for high-dimensional linear models	2006	Peter Bühlmann	1
+	<i>L</i><sub>1</sub> Penalized Estimation in the Cox Proportional Hazards Model	2009	Jelle J. Goeman	1
+ PDF Chat	Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)	2000	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	1
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	1
+ PDF Chat	Variable Selection for Cox's proportional Hazards Model and Frailty Model	2002	Jianqing Fan Runze Li	1
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	1
+ PDF Chat	The positive false discovery rate: a Bayesian interpretation and the q-value	2003	John D. Storey	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+ PDF Chat	Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data	2005	Hui Li Y. Luan	1
+	THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL	1997	Robert Tibshirani	1
+	A Tutorial on MM Algorithms	2004	David R. Hunter Kenneth Lange	1
+	Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent	2011	Noah Simon J. Friedman Trevor Hastie Rob Tibshirani	1
+	Generalized additive models for medical research	1995	Trevor Hastie Robert Tibshirani	1
+ PDF Chat	In silico prediction of protein-protein interactions in human macrophages	2014	Oussema Souiai Fatma Z. Guerfali Slimane Ben Miled Christine Brun Alia Benkahla	1
+ PDF Chat	Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data	2005	Jiang Gui Hongzhe Li	1
+	Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction	2012	Christian P. Robert	1
+ PDF Chat	Stability Selection	2010	Nicolai Meinshausen Peter Bühlmann	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+ PDF Chat	Boosting for high-dimensional linear models	2006	Peter Bühlmann	1
+ PDF Chat	Boosting Algorithms: Regularization, Prediction and Model Fitting	2007	Peter Bühlmann Torsten Hothorn	1
+ PDF Chat	Microarrays, Empirical Bayes and the Two-Groups Model	2008	Bradley Efron	1
+	Statistics for High-Dimensional Data: Methods, Theory and Applications	2011	Peter Bhlmann Sara van de Geer	1
+ PDF Chat	Significance analysis of microarrays applied to the ionizing radiation response	2001	Virginia Goss Tusher Robert Tibshirani Gilbert Chu	1