3 papers
stat.ME2025
Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models
Changhu Wang, Ziheng Zhang, Jingyi Jessica Li
Balancing false discovery rate (FDR) control with high statistical power remains a central challenge in high-dimensional variable selection. While several FDR-controlling methods h…
stat.AP2024
Question-Score Identity Detection (Q-SID): A Statistical Algorithm to Detect Collusion Groups with Error Quantification from Exam Question Scores
Guanao Yan, Jingyi Jessica Li, Mark D. Biggin
Collusion between students in online exams is a major problem that undermines the integrity of the exam results. Although there exist methods that use exam data to identify pairs o…
stat.AP2019
Issues arising from benchmarking single-cell RNA sequencing imputation methods
Wei Vivian Li, Jingyi Jessica Li
On June 25th, 2018, Huang et al. published a computational method SAVER on Nature Methods for imputing dropout gene expression levels in single cell RNA sequencing (scRNA-seq) data…