Yaohong Yang

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All published works

Action	Title	Year	Authors
+	Communication-efficient estimation of quantile matrix regression for massive datasets	2023	Yaohong Yang Lei Wang Jiamin Liu Rui Li Heng Lian
+ PDF Chat	Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates	2022	Xiaohong He Yaohong Yang Lei Wang
+	Dimension-reduced empirical likelihood estimation and inference for M-estimators with nonignorable nonresponse	2022	Siying Sun Yaohong Yang Lei Wang

Common Coauthors

Coauthor	Papers Together
Lei Wang	2
Heng Lian	1
Siying Sun	1
Xiaohong He	1
Lei Wang	1
Rui Li	1
Jiamin Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Statistical Methods for Handling Incomplete Data	2013	Jae Kwang Kim Jun Shao	1
+ PDF Chat	Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes	2016	Jian Yang Lei Luo Jianjun Qian Ying Tai Fanlong Zhang Yong Xu	1
+ PDF Chat	A Review on Dimension Reduction	2012	Yanyuan Ma Li Zhu	1
+	Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates	2013	Yuchen Zhang John C. Duchi Martin J. Wainwright	1
+	M-estimation and quantile estimation in the presence of auxiliary information	1995	Biao Zhang	1
+ PDF Chat	The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration	2011	Amanda R. Patrick Sebastian Schneeweiß M. Alan Brookhart Robert J. Glynn Kenneth J. Rothman Jerry Avorn Til Stürmer‎	1
+	Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling	2002	Jing Qin Denis H. Y. Leung Jun Shao	1
+ PDF Chat	Empirical Likelihood Ratio Confidence Regions	1990	Art B. Owen	1
+ PDF Chat	A Semiparametric Approach to Dimension Reduction	2012	Yanyuan Ma Li Zhu	1
+	Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data	2009	Ying Yuan Guosheng Yin	1
+	Some results on generalized difference estimation and generalized regression estimation for finite populations	1976	Claes M. Cassel Carl Erik Särndal Jan Wretman	1
+	Robust estimation of distribution functions and quantiles with non‐ignorable missing data	2013	Puying Zhao Man‐Lai Tang Niansheng Tang	1
+	Analysis of multivariate missing data with nonignorable nonresponse	2003	Gong Tang Roderick J. A. Little Trivellore Raghunathan	1
+	Optimal partial ridge estimation in restricted semiparametric regression models	2015	Morteza Amini Mahdi Roozbeh	1
+	A two‐way classification of regression estimation strategies in probability sampling	1980	Carl‐Erik Särndal	1
+	Covariate selection for the nonparametric estimation of an average treatment effect	2011	Xavier de Luna Ingeborg Waernbaum Thomas S. Richardson	1
+ PDF Chat	Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR	2007	Howard D. Bondell Brian J. Reich	1
+	Nonparametric Estimation of Mean Functionals with Data Missing at Random	1994	Philip E. Cheng	1
+ PDF Chat	Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates	2008	Mélanie Prague Rui Wang Stephens Alisa Tchetgen Eric Victor De Gruttola	1
+	The Analysis of Categorical Data from Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables	1981	J. N. K. Rao A. J. Scott	1
+	Shrinkage and model selection with correlated variables via weighted fusion	2008	Z. John Daye X. Jessie Jeng	1
+ PDF Chat	A note on overadjustment in inverse probability weighted estimation	2010	Andrea Rotnitzky Li L Xiaoming Li	1
+ PDF Chat	Empirical Likelihood and General Estimating Equations	1994	Qin Jin Jerry Lawless	1
+ PDF Chat	Covariate adjustment for two‐sample treatment comparisons in randomized clinical trials: A principled yet flexible approach	2007	Anastasios A. Tsiatis Marie Davidian Min Zhang Xiaomin Lu	1
+ PDF Chat	A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data	2011	Jae Kwang Kim Cindy Yu	1
+	On the adaptive elastic-net with a diverging number of parameters	2009	Hui Zou Hao Helen Zhang	1
+	Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data	2014	Jiwei Zhao Jun Shao	1
+	On the Interpretation of Regression Plots	1994	R. Dennis Cook	1
+	Quantile Regression	2005	Roger Koenker	1
+ PDF Chat	Estimation of mean response via the effective balancing score	2014	Zhangjian Hu Dean Follmann Ning Wang	1
+	Empirical likelihood ratio confidence intervals for a single functional	1988	Art B. Owen	1
+ PDF Chat	Inference on Treatment Effects after Selection among High-Dimensional Controls	2013	Alexandre Belloni Victor Chernozhukov Christian Hansen	1
+	Sufficient dimension reduction through discretization-expectation estimation	2010	Lixing Zhu Tao Wang Lixing Zhu L. Ferré	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	Foundations of Inference in Survey Sampling	1980	Poduri S.R.S. Rao	1
+ PDF Chat	Invited Commentary: Variable Selection versus Shrinkage in the Control of Multiple Confounders	2007	Sander Greenland	1
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	1
+ PDF Chat	Regularized Matrix Regression	2013	Hua Zhou Lexin Li	1
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	1
+ PDF Chat	Effects of Adjusting for Instrumental Variables on Bias and Precision of Effect Estimates	2011	Jessica A. Myers Jeremy A. Rassen Joshua J. Gagne Krista F. Huybrechts Sebastian Schneeweiß Kenneth J. Rothman Marshall M. Joffe Robert J. Glynn	1
+ PDF Chat	Variable Selection for Propensity Score Models	2006	M. Alan Brookhart Sebastian Schneeweiß Kenneth J. Rothman Robert J. Glynn Jerry Avorn Til Stürmer‎	1
+ PDF Chat	An Adaptive Estimation of Dimension Reduction Space	2002	Yingcun Xia Howell Tong W. K. Li Li Zhu	1
+	Semiparametric inverse propensity weighting for nonignorable missing data	2016	Jun Shao Lei Wang	1
+	Robust Statistics	1981	Peter J. Huber	1
+	Distributed learning with regularized least squares	2016	Shao-Bo Lin Xin Guo Ding‐Xuan Zhou	1
+	Model selection with nonignorable nonresponse	2016	Fang Fang Jun Shao	1
+ PDF Chat	Estimation of (near) low-rank matrices with noise and high-dimensional scaling	2011	Sahand Negahban Martin J. Wainwright	1
+ PDF Chat	A Parallel Algorithm for Large-Scale Nonconvex Penalized Quantile Regression	2017	Liqun Yu Nan Lin Lan Wang	1
+	Dimension-reduced empirical likelihood inference for response mean with data missing at random	2017	Lei Wang Guangming Deng	1
+	Optimal QR-based estimation in partially linear regression models with correlated errors using GCV criterion	2017	Mahdi Roozbeh	1