6 papers
Gaussian Differentially Private -values: Construction, Threshold Calibration, and Multiple Testing
Qi Kuang, Bowen Gang, Yin Xia
This paper develops a framework for differentially private -values under Gaussian differential privacy (-GDP). We characterize the canonical noise mechanism, establishing th…
SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
Qi Kuang, Bowen Gang, Yin Xia
We propose a unified framework to enhance the power of online multiple hypothesis testing procedures based on -values. While -value-based methods offer robust online False Di…
Active Hypothesis Testing under Computational Budgets with Applications to GWAS and LLM
Qi Kuang, Bowen Gang, Yin Xia
In large-scale hypothesis testing, computing exact -values or -values is often resource-intensive, creating a need for budget-aware inferential methods. We propose a general…
Data-light Uncertainty Set Merging with Admissibility
Shenghao Qin, Jianliang He, Qi Kuang +2
This article introduces a Synthetics, Aggregation, and Test inversion (SAT) approach for merging diverse and potentially dependent uncertainty sets into a single unified set. The p…
A Unified Multiple Testing Framework based on rho-values
Shenghao Qin, Bowen Gang, Yin Xia
Multiple testing is an important research area with widespread scientific applications, including in biology and neuroscience. Among popularly adopted multiple testing procedures,…
False Discovery Control in Multiple Testing: A Brief Overview of Theories and Methodologies
Jianliang He, Bowen Gang, Luella Fu
As the volume and complexity of data continue to expand across various scientific disciplines, the need for robust methods to account for the multiplicity of comparisons has grown…