activity
20142025
most citedMultiple testing with discrete data: proportion of true null hypotheses and two adaptive FDR procedures

33 citations · 107 across the 16 of their papers we have counts for

collaborators

18 papers

cs.LG2025

Direct Prediction Set Minimization via Bilevel Conformal Classifier Training

Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia +3

Conformal prediction (CP) is a promising uncertainty quantification framework which works as a wrapper around a black-box classifier to construct prediction sets (i.e., subset of c…

math.ST2025

Uniformly consistent proportion estimation for composite hypotheses via integral equations: "the case of location-shift families"

Xiongzhi Chen

We consider estimating the proportion of random variables for two types of composite null hypotheses: (i) the means or medians of the random variables belonging to a non-empty, bou…

math.ST2020

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…

math.ST2019

A uniform FDR upper bound for a weighted FDR procedure under exchangeability

Faith Zhang, Xiongzhi Chen

For a weighted false discovery rate (FDR) procedure for multiple testing the means of equicorrelated normal random variables, we provide an analytic, non-asymptotic, uniform FDR up…

stat.ME2019

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…

stat.ME2019★ 2 cited

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…

math.ST2019

Uniformly consistent proportion estimation for composite hypotheses via integral equations: "the case of Gamma random variables"

Xiongzhi Chen

We consider estimating the proportion of random variables for two types of composite null hypotheses: (i) the means of the random variables belonging to a non-empty, bounded interv…

math.PR2018★ 9 cited

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…

math.ST2018★ 1 cited

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…

stat.ME2018★ 29 cited

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…

stat.ME2015

Explicit solutions to a vector time series model and its induced model for business cycles

Xiongzhi Chen

This article gives the explicit solution to a general vector time series model that describes interacting, heterogeneous agents that operate under uncertainties but according to Ke…

stat.ML2015★ 11 cited

Consistent Estimation of Low-Dimensional Latent Structure in High-Dimensional Data

Xiongzhi Chen, John D. Storey

We consider the problem of extracting a low-dimensional, linear latent variable structure from high-dimensional random variables. Specifically, we show that under mild conditions a…

math.ST2015

Stopping time property of thresholds of Storey-type FDR procedures

Xiongzhi Chen, R. W. Doerge

For multiple testing, we introduce Storey-type FDR procedures and the concept of "regular estimator of the proportion of true nulls". We show that the rejection threshold of a Stor…

math.ST2015

Natural Exponential Families: Resolution of A Conjecture and Existence of Reduction Functions

Xiongzhi Chen

One-parameter natural exponential family (NEF) plays fundamental roles in probability and statistics. This article contains two independent results: (a) A conjecture of Bar-Lev, Bs…

stat.ME2015★ 15 cited

A weighted FDR procedure under discrete and heterogeneous null distributions

Xiongzhi Chen, R. W. Doerge, Sanat K. Sarkar

Multiple testing with false discovery rate (FDR) control has been widely conducted in the ``discrete paradigm" where p-values have discrete and heterogeneous null distributions. Ho…

math.ST2014★ 7 cited

A strong law of large numbers related to multiple testing Normal means

Xiongzhi Chen, Rebecca W. Doerge

Assessing the stability of a multiple testing procedure under dependence is important but very challenging. Even for multiple testing which among a set of Normal random variables h…

stat.ME2014

Consistent estimation of the proportion of false nulls and FDR for adaptive multiple testing Normal means under weak dependence

Xiongzhi Chen

We consider multiple testing means of many dependent Normal random variables that do not necessarily follow a joint Normal distribution. Under weak dependence, we show the uniform…

stat.ME2014★ 33 cited

Multiple testing with discrete data: proportion of true null hypotheses and two adaptive FDR procedures

Xiongzhi Chen, Rebecca W. Doerge, Joseph F. Heyse

We consider multiple testing with false discovery rate (FDR) control when p-values have discrete and heterogeneous null distributions. We propose a new estimator of the proportion…