37 citations · 96 across the 7 of their papers we have counts for
7 papers
Nonparametric fusion learning: synthesize inferences from diverse sources using depth confidence distribution
Dungang Liu, Regina Y. Liu, Minge Xie
Fusion learning refers to synthesizing inferences from multiple sources or studies to provide more effective inference and prediction than from any individual source or study alone…
Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning
Xiaokang Luo, Tirthankar Dasgupta, Minge Xie +1
The flexibility and wide applicability of the Fisher randomization test (FRT) makes it an attractive tool for assessment of causal effects of interventions from modern-day randomiz…
p-Value as the Strength of Evidence Measured by Confidence Distribution
Sifan Liu, Regina Liu, Min-ge Xie
The notion of p-value is a fundamental concept in statistical inference and has been widely used for reporting outcomes of hypothesis tests. However, p-value is often misinterprete…
Bridging centrality and extremity: Refining empirical data depth using extreme value statistics
John H. J. Einmahl, Jun Li, Regina Y. Liu
Statistical depth measures the centrality of a point with respect to a given distribution or data cloud. It provides a natural center-outward ordering of multivariate data points a…
Incorporating external information in analyses of clinical trials with binary outcomes
Minge Xie, Regina Y. Liu, C. V. Damaraju +1
External information, such as prior information or expert opinions, can play an important role in the design, analysis and interpretation of clinical trials. However, little attent…
Multivariate spacings based on data depth: I. Construction of nonparametric multivariate tolerance regions
Jun Li, Regina Y. Liu
This paper introduces and studies multivariate spacings. The spacings are developed using the order statistics derived from data depth. Specifically, the spacing between two consec…