| Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition Z Lin SIAM Journal on Matrix Analysis and Applications 40 (4), 1353-1370, 2019 | 109 | 2019 |
| Wasserstein regression Y Chen, Z Lin, HG Müller Journal of the American Statistical Association 118 (542), 869-882, 2023 | 75 | 2023 |
| Locally sparse estimator for functional linear regression models Z Lin, J Cao, L Wang, H Wang Journal of Computational and Graphical Statistics 26 (2), 306-318, 2017 | 61 | 2017 |
| Intrinsic Riemannian functional data analysis Z Lin, F Yao The Annals of Statistics 47 (6), 3533-3577, 2019 | 43 | 2019 |
| Interpretable functional principal component analysis Z Lin, L Wang, J Cao Biometrics 72 (3), 846-854, 2016 | 42 | 2016 |
| Bootstrapping max statistics in high dimensions: Near-parametric rates under weak variance decay and application to functional and multinomial data ME Lopes, Z Lin, HG Müller The Annals of Statistics 48 (2), 1214-1229, 2020 | 28 | 2020 |
| Mean and covariance estimation for functional snippets Z Lin, JL Wang Journal of the American Statistical Association 117 (537), 348-360, 2022 | 26 | 2022 |
| BC Hydro's transmission reliability margin assessment in total transfer capability calculations W Li, E Vaahedi, Z Lin IEEE Transactions on power systems 28 (4), 4796-4802, 2013 | 21 | 2013 |
| Modeling sparse longitudinal data on Riemannian manifolds X Dai, Z Lin, HG Müller Biometrics 77 (4), 1328-1341, 2021 | 18 | 2021 |
| Functional regression on the manifold with contamination Z Lin, F Yao Biometrika 108 (1), 167-181, 2021 | 17 | 2021 |
| Restrictions of point estimate methods and remedy Z Lin, W Li Reliability Engineering & System Safety 111, 106-111, 2013 | 17 | 2013 |
| Total variation regularized Fréchet regression for metric-space valued data Z Lin, HG Müller The Annals of Statistics 49 (6), 3510-3533, 2021 | 15 | 2021 |
| Estimating truncated functional linear models with a nested group bridge approach T Guan, Z Lin, J Cao Journal of Computational and Graphical Statistics 29 (3), 620-628, 2020 | 15 | 2020 |
| Mixture inner product spaces and their application to functional data analysis Z Lin, HG Müller, F Yao The Annals of Statistics 46 (1), 370-400, 2018 | 15 | 2018 |
| Basis expansions for functional snippets Z Lin, JL Wang, Q Zhong Biometrika 108 (3), 709-726, 2021 | 14 | 2021 |
| Mining discriminative items in multiple data streams Z Lin, B Jiang, J Pei, D Jiang World Wide Web 13 (4), 497-522, 2010 | 13 | 2010 |
| Additive models for symmetric positive-definite matrices and Lie groups Z Lin, HG Müller, BU Park Biometrika 110 (2), 361-379, 2023 | 12 | 2023 |
| High-dimensional MANOVA via bootstrapping and its application to functional and sparse count data Z Lin, ME Lopes, HG Müller Journal of the American Statistical Association 118 (541), 177-191, 2023 | 11 | 2023 |
| Intrinsic Riemannian functional data analysis for sparse longitudinal observations L Shao, Z Lin, F Yao The Annals of Statistics 50 (3), 1696-1721, 2022 | 11 | 2022 |
| Causal inference on distribution functions Z Lin, D Kong, L Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 9 | 2023 |
Hans-Georg MüllerUniversity of California, DavisVerified email at ucdavis.edu
