| 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 | 131 | 2012 |
| 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 | 66 | 2022 |
| Optimal classification in sparse Gaussian graphic model Y Fan, J Jin, Z Yao The Annals of Statistics, 2537-2571, 2013 | 50 | 2013 |
| Principal flows VM Panaretos, T Pham, Z Yao Journal of the American Statistical Association 109 (505), 424-436, 2014 | 36 | 2014 |
| Partial correlation screening for estimating large precision matrices, with applications to classification S Huang, J Jin, Z Yao | 14 | 2016 |
| 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 | 11 | 2017 |
| Manifold Fitting under Unbounded Noise Z Yao, Y Xia | 9 | 2019 |
| Principal Boundary on Riemannian Manifolds Z Yao, Z Zhang Journal of the American Statistical Association, 2019 | 9 | 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 | 8 | 2017 |
| 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 | 7 | 2019 |
| Random fixed boundary flows Z Yao, Y Xia, Z Fan Journal of the American Statistical Association 119 (547), 2356-2368, 2024 | 6* | 2024 |
| On a class of linear regression methods YA Wang, Q Huang, Z Yao, Y Zhang Journal of Complexity 82, 101826, 2024 | 6 | 2024 |
| Principal sub-manifolds Z Yao, B Eltzner, T Pham arXiv preprint arXiv:1604.04318, 2016 | 6 | 2016 |
| Manifold Fitting with CycleGAN Z Yao, J Su, ST Yau Proceedings of the National Academy of Sciences of the United States of America, 0 | 3* | |
| 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 | 2 | 2021 |
| Quantifying Time-Varying Sources in Magnetoencephalography – A Discrete Approach Z Yao, Z Fan, M Hayashi, WF Eddy Annals of Applied Statistics, 2019 | 2 | 2019 |
| Manifold Fitting Z Yao, J Su, B Li, ST Yau https://arxiv.org/abs/2304.07680, 0 | 2* | |
| Single-cell analysis via manifold fitting: a framework for RNA clustering and beyond Z Yao, B Li, Y Lu, ST Yau Proceedings of the National Academy of Sciences of the United States of …, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Manifold fitting in ambient space Z Yao, B Li, WC Tan arXiv preprint arXiv:1909.13492, 2019 | 1 | 2019 |
Jiashun JinProfessor of Statistics, Carnegie Mellon UniversityBestätigte E-Mail-Adresse bei stat.cmu.edu
