Xuening Zhu
Xuening Zhu
School of Data Science, Fudan University
Verified email at fudan.edu.cn
Title
Cited by
Cited by
Year
Network vector autoregression
X Zhu, R Pan, G Li, Y Liu, H Wang
The Annals of Statistics 45 (3), 1096-1123, 2017
792017
Network quantile autoregression
X Zhu, W Wang, H Wang, WK Härdle
Journal of econometrics 212 (1), 345-358, 2019
432019
Network linear discriminant analysis
W Cai, G Guan, R Pan, X Zhu, H Wang
Computational Statistics & Data Analysis 117, 32-44, 2018
142018
Multivariate spatial autoregressive model for large scale social networks
X Zhu, D Huang, R Pan, H Wang
Journal of Econometrics 215 (2), 591-606, 2020
112020
Least squares approximation for a distributed system
X Zhu, F Li, H Wang
Journal of Computational and Graphical Statistics, 1-44, 2021
82021
Grouped network vector autoregression
X Zhu, R Pan
Statistica Sinca, 2018
82018
Portal nodes screening for large scale social networks
X Zhu, X Chang, R Li, H Wang
Journal of econometrics 209 (2), 145-157, 2019
72019
Nonconcave penalized estimation in sparse vector autoregression model
X Zhu
Electronic Journal of Statistics 14 (1), 1413-1448, 2020
42020
Logistic regression with network structure
X Zhang, R Pan, G Guan, X Zhu, H Wang
Statistica Sinica, 2018
32018
Community Network Auto-Regression for High-Dimensional Time Series
EY Chen, J Fan, X Zhu
arXiv preprint arXiv:2007.05521, 2020
22020
Two-mode network autoregressive model for large-scale networks
D Huang, F Wang, X Zhu, H Wang
Journal of Econometrics 216 (1), 203-219, 2020
22020
Network Functional Varying Coefficient Model
X Zhu, Z Cai, Y Ma
Journal of the American Statistical Association, 1-12, 2021
12021
Network group hawkes process model
H Xu, G Fang, X Zhu
arXiv preprint arXiv:2002.08521, 2020
12020
Modeling Social Media User Content Generation Using Interpretable Point Process Models
J Zhang, X Zhu, H Wang, Y Guan
arXiv preprint arXiv:1807.10853, 2018
12018
An EM algorithm for click fraud detection
X Zhu, D Huang, R Pan, H Wang
Available at SSRN 2695953, 2015
12015
Feature Screening for Massive Data Analysis by Subsampling
X Zhu, R Pan, S Wu, H Wang
Journal of Business & Economic Statistics, 1-31, 2021
2021
Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse
Y Ren, X Zhu, G Hu
arXiv preprint arXiv:2110.04991, 2021
2021
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
R Pan, Y Zhu, B Guo, X Zhu, H Wang
arXiv preprint arXiv:2110.00936, 2021
2021
On Identification of High Risk Carriers of COVID-19 Using Masked Mobile Device Data
D Huang, X Zhu, W Luo, H Yin, J Hong, Y Chen, J Zhou, H Wang
Journal of Data Science 18 (5), 849-859, 2021
2021
Feature Screening for Network Autoregression Model.
D Huang, X Zhu, R Li, H Wang
Statistica Sinica 31, 1239-1259, 2021
2021
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