44 citations · 71 across the 9 of their papers we have counts for
9 papers
Identification of Genetic Factors Associated with Corpus Callosum Morphology: Conditional Strong Independence Screening for Non-Euclidean Responses
Zhe Gao, Jin Zhu, Yue Hu +2
The corpus callosum, the largest white matter structure in the brain, plays a critical role in interhemispheric communication. Variations in its morphology are associated with vari…
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,…
The Effects of Stringent Interventions for Coronavirus Pandemic
Ting Tian, Wenxiang Luo, Yukang Jiang +4
The pandemic of COVID-19 has caused severe public health consequences around the world. Many interventions of COVID-19 have been implemented. It is of great public health and socie…
Ball: An R package for detecting distribution difference and association in metric spaces
Jin Zhu, Wenliang Pan, Wei Zheng +1
The rapid development of modern technology facilitates the appearance of numerous unprecedented complex data which do not satisfy the axioms of Euclidean geometry, while most of th…
The geometry of the Einstein--Podolsky--Rosen correlations
H. Chau Nguyen, Huy-Viet Nguyen, Otfried Gühne
Correlations between distant particles are central to many puzzles and paradoxes of quantum mechanics and, at the same time, underpin various applications like quantum cryptography…
Robust Group Comparison Using Non-Parametric Block-Based Statistics
Geng Chen, Pei Zhang, Ke Li +7
Voxel-based analysis methods localize brain structural differences by performing voxel-wise statistical comparisons on two groups of images aligned to a common space. This procedur…