1 citations · 1 across the 7 of their papers we have counts for
7 papers
Sparse group principal component analysis via double thresholding with application to multi-cellular programs
Qi Xu, Jing Lei, Kathryn Roeder
Multi-cellular programs (MCPs) are coordinated patterns of gene expression across interacting cell types that collectively drive complex biological processes such as tissue develop…
Towards Efficient Inference under Nonmonotone Missingness with General Imputation
Qi Xu, Lorenzo Testa, Jing Lei +1
Missing data are ubiquitous in classical survey and longitudinal studies as well as modern multi-modality data analysis. A longstanding challenge arises under nonmonotone missingne…
A Modern Theory of Cross-Validation through the Lens of Stability
Jing Lei
Modern data analysis and statistical learning are marked by complex data structures and black-box algorithms. Data complexity stems from technologies such as imaging, remote sensin…
Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap
Lorenzo Testa, Qi Xu, Jing Lei +1
In modern scientific applications, large volumes of covariate data are readily available, while outcome labels are costly, sparse, and often subject to distribution shift. This asy…
Least Squares Inference for Data with Network Dependency
Jing Lei, Kehui Chen, Haeun Moon
We address the inference problem concerning regression coefficients in a classical linear regression model using least squares estimates. The analysis is conducted under circumstan…
Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
Haeun Moon, Jin-Hong Du, Jing Lei +1
Quantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such…
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
Kevin Z Lin, Jing Lei
We consider a time-ordered sequence of networks stemming from stochastic block models where nodes gradually change their memberships over time, and no network at any single time po…