Qiang Sun
Cited by
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Adaptive Huber regression
Q Sun, W Zhou, J Fan
Journal of the American Statistical Association., 2019
I-LAMM for sparse learning: Simultaneous control of algorithmic complexity and statistical error
J Fan, H Liu, Q Sun, T Zhang
The Annals of Statistics 46 (2), 814-841, 2018
Principal component analysis for big data
J Fan, Q Sun, WX Zhou, Z Zhu
Wiley StatsRef: Statistics Reference Online, 1-13, 2014
Farmtest: Factor-adjusted robust multiple testing with approximate false discovery control
J Fan, Y Ke, Q Sun, WX Zhou
Journal of the American Statistical Association, 1-29, 2019
Statistical sparse online regression: A diffusion approximation perspective
J Fan, W Gong, CJ Li, Q Sun
International Conference on Artificial Intelligence and Statistics, 1017-1026, 2018
SPReM: Sparse projection regression model for high-dimensional linear regression
Q Sun, H Zhu, Y Liu, JG Ibrahim
Journal of the American Statistical Association 110 (509), 289-302, 2015
Updating exposure models of indoor air pollution due to vapor intrusion: Bayesian calibration of the Johnson-Ettinger model
JE Johnston, Q Sun, JMD Gibson
Environmental Science & Technology 48 (4), 2130-2138, 2014
Transplantation of microbiota from drug-free patients with schizophrenia causes schizophrenia-like abnormal behaviors and dysregulated kynurenine metabolism in mice
F Zhu, R Guo, W Wang, Y Ju, Q Wang, Q Ma, Q Sun, Y Fan, Y Xie, Z Yang, ...
Molecular psychiatry, 1-14, 2019
Hoeffding's lemma for Markov Chains and its applications to statistical learning
J Fan, B Jiang, Q Sun
arXiv preprint arXiv:1802.00211, 2018
User-friendly covariance estimation for heavy-tailed distributions
Y Ke, S Minsker, Z Ren, Q Sun, WX Zhou
Statistical Science 34 (3), 454-471, 2019
Up-regulation of mRNA ventricular PRNP prion protein gene expression in air pollution highly exposed young urbanites: endoplasmic reticulum stress, glucose regulated protein 78 …
R Villarreal-Calderon, M Franco-Lira, A González-Maciel, ...
International Journal of Molecular Sciences 14 (12), 23471-23491, 2013
Counting process-based dimension reduction methods for censored outcomes
Q Sun, R Zhu, T Wang, D Zeng
Biometrika 106 (1), 181-196, 2019
Graphical nonconvex optimization via an adaptive convex relaxation
Q Sun, KM Tan, H Liu, T Zhang
International Conference on Machine Learning, 4810-4817, 2018
Bernstein's inequality for general Markov chains
B Jiang, Q Sun, J Fan
arXiv preprint arXiv:1805.10721, 2018
An analysis of classical multidimensional scaling
A Little, Y Xie, Q Sun
arXiv preprint arXiv:1812.11954, 2018
Modified multidimensional scaling and high dimensional clustering
X Ding, Q Sun
arXiv preprint arXiv:1810.10172, 2018
Hard thresholding regression
Q Sun, B Jiang, H Zhu, JG Ibrahim
Scandinavian Journal of Statistics 46 (1), 314-328, 2019
Supplement to “User-Friendly Covariance Estimation for Heavy-Tailed Distributions.”
Y Ke, S Minsker, Z Ren, Q Sun, WX Zhou
DOI, 2019
Gaussian approximations for maxima of random vectors under (2+ ι)-th moments
Q Sun
Statistics & Probability Letters 158, 108523, 2020
Bayesian high-dimensional linear regression with generic spike-and-slab priors
B Jiang, Q Sun
arXiv preprint arXiv:1912.08993, 2019
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