尚作峰 (Zuofeng Shang)
尚作峰 (Zuofeng Shang)
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Zitiert von
Zitiert von
Computational Limits of A Distributed Algorithm For Smoothing Spline
Z Shang, G Cheng
Journal of Machine Learning Research 18, 1-37, 2017
Local and global asymptotic inference in smoothing spline models
Z Shang, G Cheng
The Annals of Statistics 41 (5), 2608-2638, 2013
Nonparametric inference in generalized functional linear models
Z Shang, G Cheng
The Annals of Statistics 43 (4), 1742-1773, 2015
Joint asymptotics for semi-nonparametric regression models with partially linear structure
G Cheng, Z Shang
The Annals of Statistics 43 (3), 1351-1390, 2015
Consistency of Bayesian linear model selection with a growing number of parameters
Z Shang, MK Clayton
Journal of Statistical Planning and Inference 141 (11), 3463-3474, 2011
Identification and estimation in panel models with overspecified number of groups
R Liu, Z Shang, Y Zhang, Q Zhou
Journal of Econometrics 215 (2), 574-590, 2020
New aspects of Bregman divergence in regression and classification with parametric and nonparametric estimation
C Zhang, Y Jiang, Z Shang
Canadian journal of statistics 37 (1), 119-139, 2009
Variance change point detection under a smoothly-changing mean trend with application to liver procurement
Z Gao, Z Shang, P Du, JL Robertson
Journal of the American Statistical Association, 2018
Testing community structure for hypergraphs
M Yuan, R Liu, Y Feng, Z Shang
The Annals of Statistics 50 (1), 147-169, 2022
Optimal tuning for divide-and-conquer kernel ridge regression with massive data
G Xu, Z Shang, G Cheng
The Thirty-fifth International Conference on Machine Learning …, 2018
Sparse and efficient estimation for partial spline models with increasing dimension
G Cheng, HH Zhang, Z Shang
Annals of the Institute of Statistical Mathematics 67 (1), 93-127, 2015
Optimal nonparametric inference via deep neural network
R Liu, B Boukai, Z Shang
Journal of Mathematical Analysis and Applications 505 (2), 125561, 2022
On deep instrumental variables estimate
R Liu, Z Shang, G Cheng
arXiv preprint arXiv:2004.14954, 2020
Nonparametric Bayesian Aggregation for Massive Data.
Z Shang, B Hao, G Cheng
J. Mach. Learn. Res. 20, 140:1-140:81, 2019
Non-asymptotic analysis for nonparametric testing
Y Yang, Z Shang, G Cheng
Conference on Learning Theory, 3709-3755, 2020
Sharp rate of convergence for deep neural network classifiers under the teacher-student setting
T Hu, Z Shang, G Cheng
arXiv preprint arXiv:2001.06892, 2020
Convergence rate and Bahadur type representation of general smoothing spline M-estimates
Z Shang
Electronic Journal of Statistics 4, 1411-1442, 2010
Nonparametric distributed learning under general designs
M Liu, Z Shang, G Cheng
Electronic Journal of Statistics 14 (2), 3070-3102, 2020
A likelihood-ratio type test for stochastic block models with bounded degrees
M Yuan, Y Feng, Z Shang
arXiv preprint arXiv:1807.04426, 2018
Estimation of the mean function of functional data via deep neural networks
S Wang, G Cao, Z Shang, Alzheimer's Disease Neuroimaging Initiative
Stat 10 (1), e393, 2021
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