Articles with public access mandates - Jinchi LvLearn more
Available somewhere: 29
A selective overview of variable selection in high dimensional feature space
J Fan, J Lv
Statistica Sinica 20 (1), 101, 2010
Mandates: US National Institutes of Health
Panning for gold: 'model-X' knockoffs for high dimensional controlled variable selection
EJ Candès, Y Fan, L Janson, J Lv
Journal of the Royal Statistical Society Series B 80, 551-577, 2018
Mandates: US National Science Foundation, US Department of Defense, US National …
Nonconcave penalized likelihood with NP-dimensionality
J Fan, J Lv
IEEE Transactions on Information Theory 57 (8), 5467-5484, 2011
Mandates: US National Institutes of Health
Sparse high dimensional models in economics
J Fan, J Lv, L Qi
Annual Review of Economics 3, 291-317, 2011
Mandates: US National Institutes of Health
DeepPINK: reproducible feature selection in deep neural networks
Y Lu, Y Fan, J Lv, WS Noble
Advances in Neural Information Processing Systems (NeurIPS 2018), 2018
Mandates: US National Institutes of Health
Estimating and testing high-dimensional mediation effects in epigenetic studies
H Zhang, Y Zheng, Z Zhang, T Gao, B Joyce, G Yoon, W Zhang, ...
Bioinformatics 32, 3150-3154, 2016
Mandates: US National Institutes of Health, US Department of Veterans Affairs …
Model selection principles in misspecified models
J Lv, JS Liu
Journal of the Royal Statistical Society Series B 76, 141-167, 2014
Mandates: US National Institutes of Health
Interaction pursuit in high-dimensional multi-response regression via distance correlation
Y Kong, D Li, Y Fan, J Lv
The Annals of Statistics 45, 897-922, 2017
Mandates: US National Science Foundation
RANK: large-scale inference with graphical nonlinear knockoffs
Y Fan, E Demirkaya, G Li, J Lv
Journal of the American Statistical Association 115, 362-379, 2020
Mandates: US National Science Foundation, US National Institutes of Health, National …
IPAD: stable interpretable forecasting with knockoffs inference
Y Fan, J Lv, M Sharifvaghefi, Y Uematsu
Journal of the American Statistical Association 115, 1822-1834, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Asymptotic theory of eigenvectors for random matrices with diverging spikes
J Fan, Y Fan, X Han, J Lv
Journal of the American Statistical Association 117, 996-1009, 2022
Mandates: US National Science Foundation, US National Institutes of Health, National …
Innovated scalable efficient estimation in ultra-large Gaussian graphical models
Y Fan, J Lv
The Annals of Statistics 44, 2098-2126, 2016
Mandates: US National Science Foundation
Asymptotic properties of high-dimensional random forests
CM Chi, P Vossler, Y Fan, J Lv
The Annals of Statistics 50, 3415-3438, 2022
Mandates: US National Science Foundation
Sure independence screening (invited review article)
J Fan, J Lv
Wiley StatsRef: Statistics Reference Online, 2018
Mandates: US National Science Foundation
SIMPLE: statistical inference on membership profiles in large networks
J Fan, Y Fan, X Han, J Lv
Journal of the Royal Statistical Society Series B 84, 630-653, 2022
Mandates: US National Science Foundation, US National Institutes of Health, National …
High-dimensional interaction detection with false sign rate control
D Li, Y Kong, Y Fan, J Lv
Journal of Business & Economic Statistics 40, 1234-1245, 2022
Mandates: US National Science Foundation
SOFAR: large-scale association network learning
Y Uematsu, Y Fan, K Chen, J Lv, W Lin
IEEE Transactions on Information Theory 65, 4924-4939, 2019
Mandates: US National Science Foundation, US National Institutes of Health, National …
Nonuniformity of p-values can occur early in diverging dimensions
Y Fan, E Demirkaya, J Lv
Journal of Machine Learning Research 20, 1-33, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Asymptotic distributions of high-dimensional distance correlation inference
L Gao, Y Fan, J Lv, Q Shao
The Annals of Statistics 49, 1999-2020, 2021
Mandates: US National Science Foundation, US National Institutes of Health
Scalable interpretable multi-response regression via SEED
Z Zheng, MT Bahadori, Y Liu, J Lv
Journal of Machine Learning Research 20, 1-34, 2019
Mandates: US National Science Foundation, National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program