Zhigang Yao
Cited by
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A comparison of the lasso and marginal regression
CR Genovese, J Jin, L Wasserman, Z Yao
The Journal of Machine Learning Research 13 (1), 2107-2143, 2012
Optimal classification in sparse Gaussian graphic model
Y Fan, J Jin, Z Yao
The Annals of Statistics, 2537-2571, 2013
Comparing polysomnography, actigraphy, and sleep diary in the home environment: The Study of Women’s Health Across the Nation (SWAN) Sleep Study
HM Lehrer, Z Yao, RT Krafty, MA Evans, DJ Buysse, HM Kravitz, ...
Sleep Advances 3 (1), zpac001, 2022
Principal flows
VM Panaretos, T Pham, Z Yao
Journal of the American Statistical Association 109 (505), 424-436, 2014
Partial correlation screening for estimating large precision matrices, with applications to classification
S Huang, J Jin, Z Yao
Estimating the Number of Sources in Magnetoencephalography Using Spiked Population Eigenvalues
Z Yao, Y Zhang, Z Bai, WF Eddy
Journal Journal of the American Statistical Association, 2017
Manifold Fitting under Unbounded Noise
Z Yao, Y Xia
Principal Boundary on Riemannian Manifolds
Z Yao, Z Zhang
Journal of the American Statistical Association, 2019
A Level Set Based Variational Principal Flow Method for Nonparametric Dimension Reduction on Riemannian Manifolds
H Liu, Z Yao, S Leung, TF Chan
SIAM J. Sci. Comput 39 (4), A1616–A1646, 2017
Random fixed boundary flows
Z Yao, Y Xia, Z Fan
Journal of the American Statistical Association, 1-13, 2023
Estimating the Rate Constant from Biosensor Data via an Adaptive Variational Bayesian Approach
Y Zhang, Z Yao, P Forssen, F Torgny
Annals of Applied Statistics, 2019
Principal sub-manifolds
Z Yao, B Eltzner, T Pham
arXiv preprint arXiv:1604.04318, 2016
Phase Transitions for High-Dimensional Quadratic Discriminant Analysis with Rare and Weak Signals
W Wang, J Wu, Z Yao
arXiv preprint arXiv:2108.10802, 2021
Quantifying Time-Varying Sources in Magnetoencephalography – A Discrete Approach
Z Yao, Z Fan, M Hayashi, WF Eddy
Annals of Applied Statistics, 2019
A statistical approach to estimating adsorption-isotherm parameters in gradient-elution preparative liquid chromatography
J Su, Z Yao, C Li, Y Zhang
The Annals of Applied Statistics 17 (4), 3476-3499, 2023
Manifold fitting in ambient space
Z Yao, B Li, WC Tan
arXiv preprint arXiv:1909.13492, 2019
Supplementary material for “optimal classification in sparse Gaussian graphic model”
Y Fan, J Jin, Z Yao
Manifold Fitting
Z Yao, J Su, B Li, ST Yau, 0
Manifold Fitting with CycleGAN
Z Yao, J Su, ST Yau
Proceedings of the National Academy of Sciences of the United States of America, 0
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Articles 1–19