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Jinchi Lv
Jinchi Lv
Kenneth King Stonier Chair in Business Administration
Verified email at marshall.usc.edu - Homepage
Title
Cited by
Cited by
Year
Discussion: The Dantzig selector: statistical estimation when p is much larger than n
T Cai, J Lv
The Annals of Statistics 35, 2365-2369, 2007
4362*2007
Sure independence screening for ultrahigh dimensional feature space (with discussion)
J Fan, J Lv
Journal of the Royal Statistical Society Series B 70, 849-911, 2008
29822008
A selective overview of variable selection in high dimensional feature space
J Fan, J Lv
Statistica Sinica 20 (1), 101, 2010
10472010
High dimensional covariance matrix estimation using a factor model
J Fan, Y Fan, J Lv
Journal of Econometrics 147 (1), 186-197, 2008
7822008
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
6972018
Nonconcave penalized likelihood with NP-dimensionality
J Fan, J Lv
IEEE Transactions on Information Theory 57 (8), 5467-5484, 2011
4722011
A unified approach to model selection and sparse recovery using regularized least squares
J Lv, Y Fan
The Annals of Statistics 37 (6A), 3498-3528, 2009
4162009
Sparse high dimensional models in economics
J Fan, J Lv, L Qi
Annual Review of Economics 3, 291-317, 2011
2662011
DASSO: connections between the Dantzig selector and lasso
GM James, P Radchenko, J Lv
Journal of the Royal Statistical Society Series B 71 (1), 127-142, 2009
2202009
Model selection principles in misspecified models
J Lv, JS Liu
Journal of the Royal Statistical Society Series B 76, 141-167, 2014
1542014
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
1502018
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
1432016
Neural substrates related to motor memory with multiple timescales in sensorimotor adaptation
S Kim, K Ogawa, J Lv, N Schweighofer, H Imamizu
PLOS Biology 13, e1002312, 2015
982015
High-dimensional sparse additive hazards regression
W Lin, J Lv
Journal of the American Statistical Association 108, 247-264, 2013
902013
High dimensional thresholded regression and shrinkage effect
Z Zheng, Y Fan, J Lv
Journal of the Royal Statistical Society Series B 76, 627-649, 2014
842014
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
752017
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
612020
Asymptotic equivalence of regularization methods in thresholded parameter space
Y Fan, J Lv
Journal of the American Statistical Association 108, 1044-1061, 2013
602013
Discussion: A significance test for the Lasso
J Lv, Z Zheng
The Annals of Statistics 42, 493-500, 2014
59*2014
Innovated scalable efficient estimation in ultra-large Gaussian graphical models
Y Fan, J Lv
The Annals of Statistics 44, 2098-2126, 2016
492016
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