4 citations · 7 across the 6 of their papers we have counts for
7 papers
Semiparametric Efficient Fusion of Individual Data and Summary Statistics
Wenjie Hu, Ruoyu Wang, Wei Li +1
Suppose we have individual data from an internal study and various summary statistics from relevant external studies. External summary statistics have the potential to improve stat…
Calibrated regression estimation using empirical likelihood under data fusion
Wei Li, Shanshan Luo, Wangli Xu
Data analysis based on information from several sources is common in economic and biomedical studies. This setting is often referred to as the data fusion problem, which differs fr…
Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression
Ziang Niu, Yuwen Gu, Wei Li
The method of instrumental variables provides a fundamental and practical tool for causal inference in many empirical studies where unmeasured confounding between the treatments an…
Nonparametric inference about mean functionals of nonignorable nonresponse data without identifying the joint distribution
Wei Li, Wang Miao, Eric Tchetgen Tchetgen
We consider identification and inference about mean functionals of observed covariates and an outcome variable subject to nonignorable missingness. By leveraging a shadow variable,…
Optimal Linear Instrumental Variables Approximations
Juan Carlos Escanciano, Wei Li
This paper studies the identification and estimation of the optimal linear approximation of a structural regression function. The parameter in the linear approximation is called th…
Posterior Contraction and Credible Sets for Filaments of Regression Functions
Wei Li, Subhashis Ghosal
A filament consists of local maximizers of a smooth function when moving in a certain direction. A filamentary structure is an important feature of the shape of an object and i…
Tuning parameter calibration for -regularized logistic regression
Wei Li, Johannes Lederer
Feature selection is a standard approach to understanding and modeling high-dimensional classification data, but the corresponding statistical methods hinge on tuning parameters th…