Shuyi Zhang

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All published works

Action	Title	Year	Authors
+	Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method	2024	Jin Su Shuyi Zhang Yong Zhou
+	Reflection on the Classification and Identification of Colleges	2010	Shuyi Zhang

Common Coauthors

Coauthor	Papers Together
Jin Su	1
Yong Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Chapter 36 Large sample estimation and hypothesis testing	1994	Whitney K. Newey Daniel McFadden	1
+ PDF Chat	SEMIPARAMETRIC ESTIMATION WITH GENERATED COVARIATES	2015	Enno Mammen Christoph Rothe Melanie Schienle	1
+	Irregular Identification, Support Conditions, and Inverse Weight Estimation	2010	Shakeeb Khan Elie Tamer	1
+	Semiparametric Double Balancing Score Estimation for Incomplete Data With Ignorable Missingness	2012	Zonghui Hu Dean Follmann Jing Qin	1
+ PDF Chat	Semiparametric dimension reduction estimation for mean response with missing data	2010	Zhangjian Hu Dean Follmann Jing Qin	1
+ PDF Chat	Regression Analysis Under Link Violation	1989	Ker-Chau Li Naihua Duan	1
+ PDF Chat	Estimation of mean response via the effective balancing score	2014	Zhangjian Hu Dean Follmann Ning Wang	1
+	UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA	2008	Bruce E. Hansen	1
+ PDF Chat	Dealing with limited overlap in estimation of average treatment effects	2009	Richard K. Crump V. Joseph Hotz Guido W. Imbens Oscar A. Mitnik	1
+ PDF Chat	Semiparametric least squares (SLS) and weighted SLS estimation of single-index models	1993	Hidehiko Ichimura	1
+ PDF Chat	Probability estimation for large-margin classifiers	2007	Junhui Wang Xiaotong Shen Yongchao Liu	1
+ PDF Chat	Robust Confidence Intervals for Average Treatment Effects Under Limited Overlap	2017	Christoph Rothe	1
+ PDF Chat	Joint sufficient dimension reduction and estimation of conditional and average treatment effects	2017	Ming‐Yueh Huang Kwun Chuen Gary Chan	1
+	Robust and efficient estimation for the treatment effect in causal inference and missing data problems	2018	Huazhen Lin Fanyin Zhou Wang Qiuxia Ling Zhou Jing Qin	1
+ PDF Chat	Inference on finite-population treatment effects under limited overlap	2019	Han Hong Michael P. Leung Jessie Li	1
+ PDF Chat	Two-step semiparametric empirical likelihood inference	2020	Francesco Bravo Juan Carlos Escanciano Ingrid Van Keilegom	1
+ PDF Chat	Sparse single-index model	2013	Pierre Alquier Gérard Biau	1
+ PDF Chat	Semi-Supervised Approaches to Efficient Evaluation of Model Prediction Performance	2017	Jessica Gronsbell Tianxi Cai	1
+ PDF Chat	Semi-supervised inference: General theory and estimation of means	2019	Anru R. Zhang Lawrence D. Brown Tianxi Cai	1
+	The correlation-assisted missing data estimator	2019	Timothy I. Cannings Yingying Fan	1
+ PDF Chat	Semisupervised Inference for Explained Variance in High Dimensional Linear Regression and its Applications	2020	Tommaso Cai Zijian Guo	1
+ PDF Chat	Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data	2020	David Cheng Ashwin N. Ananthakrishnan Tianxi Cai	1
+	Inference In High-dimensional Single-Index Models Under Symmetric Designs	2021	Hamid Eftekhari Moulinath Banerjee Ya’acov Ritov	1
+ PDF Chat	Semi-Supervised Linear Regression	2021	David Azriel Lawrence D. Brown Michael Sklar Richard A. Berk Andreas Buja Linda Zhao	1
+ PDF Chat	High-dimensional semi-supervised learning: in search of optimal inference of the mean	2021	Yuqian Zhang Jelena Bradić	1
+	A General M-estimation Theory in Semi-Supervised Framework	2023	Shanshan Song Yuanyuan Lin Yong Zhou	1
+	Double robust semi-supervised inference for the mean: selection bias under MAR labeling with decaying overlap	2023	Yuqian Zhang Abhishek Chakrabortty Jelena Bradić	1