44 citations · 71 across the 9 of their papers we have counts for
4 papers · 1 filter
Metric Distributional Discrepancy in Metric Space
Wenliang Pan, Yujue Li, Jianwu Liu +2
Independence analysis is an indispensable step before regression analysis to find out essential factors that influence the objects. With many applications in machine Learning, medi…
Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
Xueqin Wang, Jin Zhu, Wenliang Pan +2
Distribution function is essential in statistical inference, and connected with samples to form a directed closed loop by the correspondence theorem in measure theory and the Glive…
Kernel-Distance-Based Covariate Balancing
Xialing Wen, Ying Yan, Wenliang Pan +1
A common concern in observational studies focuses on properly evaluating the causal effect, which usually refers to the average treatment effect or the average treatment effect on…
Ultra-high Dimensional Variable Selection for Doubly Robust Causal Inference
Dingke Tang, Dehan Kong, Wenliang Pan +1
Causal inference has been increasingly reliant on observational studies with rich covariate information. To build tractable causal procedures, such as the doubly robust estimators,…