| Functional linear regression for discretely observed data: from ideal to reality H Zhou, F Yao, H Zhang Biometrika 110 (2), 381-393, 2023 | 11 | 2023 |
| Intrinsic Wasserstein Correlation Analysis H Zhou, Z Lin, F Yao arXiv preprint arXiv:2105.15000, 2021 | 4 | 2021 |
| Theory of functional principal components analysis for discretely observed data H Zhou, D Wei, F Yao arXiv preprint arXiv:2209.08768, 2022 | 3 | 2022 |
| Detecting Errors in Numerical Data via any Regression Model H Zhou, J Mueller, M Kumar, JL Wang, J Lei arXiv preprint arXiv:2305.16583, 2023 | 2 | 2023 |
| Optimal transport representations and functional principal components for distribution-valued processes H Zhou, HG Müller arXiv preprint arXiv:2310.20088, 2023 | 1 | 2023 |
| Theory of functional principal component analysis for noisy and discretely observed data H Zhou, D Wei, F Yao arXiv preprint arXiv:2209.08768, 2022 | 1 | 2022 |
| Supplementary material for “Functional Linear Regression for Discretely Observed Data: from Ideal to Reality” H ZHOU, F YAO, H ZHANG | | |
Fang YaoPeking UniversityVerified email at math.pku.edu.cn
