2 citations · 2 across the 2 of their papers we have counts for
6 papers
A strong law of large numbers for simultaneously testing parameters of Lancaster bivariate distributions
Xiongzhi Chen
We prove a strong law of large numbers for simultaneously testing parameters of a large number of dependent, Lancaster bivariate random variables with infinite supports, and discus…
A grouped, selectively weighted false discovery rate procedure
Xiongzhi Chen, Sanat K. Sarkar
False discovery rate (FDR) control in structured hypotheses testing is an important topic in simultaneous inference. Most existing methods that aim to utilize group structure among…
On Benjamini-Hochberg procedure applied to mid p-values
Xiongzhi Chen, Sanat K. Sarkar
Multiple testing with discrete p-values routinely arises in various scientific endeavors. However, procedures, including the false discovery rate (FDR) controlling Benjamini-Hochbe…
Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations
Xiongzhi Chen
The proportion of false null hypotheses is a very important quantity in statistical modelling and inference based on the two-component mixture model and its extensions, and in cont…
Variable Selection via Adaptive False Negative Control in Linear Regression
X. Jessie Jeng, Xiongzhi Chen
Variable selection methods have been developed in linear regression to provide sparse solutions. Recent studies have focused on further interpretations on the sparse solutions in t…
False discovery rate control for multiple testing based on p-values with càdlàg distribution functions
Xiongzhi Chen
For multiple testing based on p-values with càdlàg distribution functions, we propose an FDR procedure "BH+" with proven conservativeness. BH+ is at least as powerful as the BH pro…