Ziwei Zhu
Cited by
Cited by
Distributed estimation and inference with statistical guarantees
H Battey, J Fan, H Liu, J Lu, Z Zhu
arXiv preprint arXiv:1509.05457, 2015
Distributed estimation of principal eigenspaces
J Fan, D Wang, K Wang, Z Zhu
Annals of statistics 47 (6), 3009, 2019
Principal component analysis for big data
J Fan, Q Sun, WX Zhou, Z Zhu
Wiley StatsRef: Statistics Reference Online, 1-13, 2014
Distributed testing and estimation under sparse high dimensional models
H Battey, J Fan, H Liu, J Lu, Z Zhu
Annals of statistics 46 (3), 1352, 2018
Robust low-rank matrix recovery
J Fan, W Wang, Z Zhu
arXiv preprint arXiv:1603.08315 2, 2016
A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery
J Fan, W Wang, Z Zhu
arXiv preprint arXiv:1603.08315, 2016
High-dimensional principal component analysis with heterogeneous missingness
Z Zhu, T Wang, RJ Samworth
arXiv preprint arXiv:1906.12125, 2019
Robust high dimensional factor models with applications to statistical machine learning
J Fan, K Wang, Y Zhong, Z Zhu
arXiv preprint arXiv:1808.03889, 2018
Heterogeneity adjustment with applications to graphical model inference
J Fan, H Liu, W Wang, Z Zhu
Electronic journal of statistics 12 (2), 3908, 2018
Generalized high-dimensional trace regression via nuclear norm regularization
J Fan, W Gong, Z Zhu
Journal of econometrics 212 (1), 177-202, 2019
Taming the heavy-tailed features by shrinkage and clipping
Z Zhu
arXiv preprint arXiv:1710.09020, 2017
Learning Markov models via low-rank optimization
Z Zhu, X Li, M Wang, A Zhang
arXiv preprint arXiv:1907.00113, 2019
Distributed and Robust Statistical Learning
Z Zhu
Princeton, NJ: Princeton University, 2018
Distributed testing and estimation in sparse high dimensional models
HS Battey, Z Zhu, J Fan, J Lu, H Liu
Institute of Mathematical Statistics, 0
The system can't perform the operation now. Try again later.
Articles 1–14