Jing Lei

30 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-3104-9387

Department of Statistics & Data Science, Carnegie Mellon University , 132 Baker Hall, Pittsburgh, Pennsylvania 15213, U.S.A

Publications

• Dynamic clustering for heterophilic stochastic block models with time-varying node memberships — Biometrika 2026
• Discussion of “Data Fission: Splitting a Single Data Point” by Leineret al. — Journal of the American Statistical Association 2025
• Augmented doubly robust post-imputation inference for proteomic data — The Annals of Applied Statistics 2025
• Online estimation with rolling validation: Adaptive nonparametric estimation with streaming data — The Annals of Statistics 2025
• Asymptotic Distribution-Free Independence Test for High-Dimension Data — Journal of the American Statistical Association 2024
• A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum — Journal of the American Statistical Association 2024
• Computational and statistical thresholds in multi-layer stochastic block models — The Annals of Statistics 2024
• Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models — Journal of the American Statistical Association 2023
• Gradient-based sparse principal component analysis with extensions to online learning — Biometrika 2023
• Model-independent detection of new physics signals using interpretable SemiSupervised classifier tests — The Annals of Applied Statistics 2023
• Rejoinder for “Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data” — Journal of the American Statistical Association 2021
• Network representation using graph root distributions — The Annals of Statistics 2021
• Exponential-Family Embedding With Application to Cell Developmental Trajectories for Single-Cell RNA-Seq Data — Journal of the American Statistical Association 2021
• Consistent community detection in multi-layer network data — Biometrika 2020
• Discussion of ‘Network cross-validation by edge sampling’ — Biometrika 2020
• Cross-Validation With Confidence — Journal of the American Statistical Association 2020
• Fast exact conformalization of the lasso using piecewise linear homotopy — Biometrika 2019
• Least Ambiguous Set-Valued Classifiers With Bounded Error Levels — Journal of the American Statistical Association 2019
• Network Cross-Validation for Determining the Number of Communities in Network Data — Journal of the American Statistical Association 2018
• Distribution-Free Predictive Inference for Regression — Journal of the American Statistical Association 2018
• A unified statistical framework for single cell and bulk RNA sequencing data — The Annals of Applied Statistics 2018
• A goodness-of-fit test for stochastic block models — The Annals of Statistics 2016
• Localized Functional Principal Component Analysis — Journal of the American Statistical Association 2015
• Consistency of spectral clustering in stochastic block models — The Annals of Statistics 2015
• Sparsistency and agnostic inference in sparse PCA — The Annals of Statistics 2015
• Distribution-free prediction bands for non-parametric regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
• Classification with confidence — Biometrika 2014
• Adaptive Global Testing for Functional Linear Models — Journal of the American Statistical Association 2014
• Distribution-Free Prediction Sets — Journal of the American Statistical Association 2013
• Minimax sparse principal subspace estimation in high dimensions — The Annals of Statistics 2013