Jinchi Lv
30 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-5881-9591
University of Tennessee
Publications
- SOFARI: High-Dimensional Manifold-Based Inference — Journal of the American Statistical Association 2026
- Exogenous Randomness Empowering Random Forests — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
- High-Dimensional Knockoffs Inference for Time Series Data — Journal of the American Statistical Association 2025
- ARK: Robust knockoffs inference with coupling — The Annals of Statistics 2025
- Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors — Journal of the American Statistical Association 2024
- Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes — Journal of the American Statistical Association 2022
- Asymptotic properties of high-dimensional random forests — The Annals of Statistics 2022
- Large-scale model selection in misspecified generalized linear models — Biometrika 2022
- SIMPLE: Statistical inference on membership profiles in large networks — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- Not Registered? Please Sign Up First: A Randomized Field Experiment on the Ex Ante Registration Request — Information Systems Research 2021
- Nonsparse Learning with Latent Variables — Operations Research 2021
- Asymptotic distributions of high-dimensional distance correlation inference — The Annals of Statistics 2021
- RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs — Journal of the American Statistical Association 2020
- IPAD: Stable Interpretable Forecasting with Knockoffs Inference — Journal of the American Statistical Association 2020
- Tuning-Free Heterogeneous Inference in Massive Networks — Journal of the American Statistical Association 2019
- Nonuniformity of P-values Can Occur Early in Diverging Dimensions — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
- Scalable Interpretable Multi-Response Regression via SEED — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
- Panning for gold: ‘model-X’ knockoffs for high dimensional controlled variable selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
- Interaction pursuit in high-dimensional multi-response regression via distance correlation — The Annals of Statistics 2017
- The Constrained Dantzig Selector with Enhanced Consistency — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
- Innovated scalable efficient estimation in ultra-large Gaussian graphical models — The Annals of Statistics 2016
- Asymptotic properties for combined L1 and concave regularization — Biometrika 2014
- High dimensional thresholded regression and shrinkage effect — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014 (name-matched, not ORCID-linked)
- Model selection principles in misspecified models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014 (name-matched, not ORCID-linked)
- High-Dimensional Sparse Additive Hazards Regression — Journal of the American Statistical Association 2013 (name-matched, not ORCID-linked)
- Impacts of high dimensionality in finite samples — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
- Asymptotic Equivalence of Regularization Methods in Thresholded Parameter Space — Journal of the American Statistical Association 2013 (name-matched, not ORCID-linked)
- DASSO: connections between the Dantzig selector and lasso — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
- Sure independence screening for ultrahigh dimensional feature space — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2008
- Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient? — Journal of the American Statistical Association