ADMM for high-dimensional sparse penalized quantile regression Y Gu, J Fan, L Kong, S Ma, H Zou Technometrics 60 (3), 319-331, 2018 | 126 | 2018 |
High-dimensional generalizations of asymmetric least squares regression and their applications Y Gu, H Zou The Annals of Statistics 44 (6), 2661-2694, 2016 | 72 | 2016 |
Sparse Composite Quantile Regression in Ultrahigh Dimensions With Tuning Parameter Calibration Y Gu, H Zou IEEE Transactions on Information Theory 66 (11), 7132-7154, 2020 | 32 | 2020 |
Pulse-number discrimination by Cope's gray treefrog (Hyla chrysoscelis) in modulated and unmodulated noise A Vélez, BJ Linehan-Skillings, Y Gu, Y Sun, MA Bee The Journal of the Acoustical Society of America 134 (4), 3079-3089, 2013 | 18 | 2013 |
Demystifying a class of multiply robust estimators W Li, Y Gu, L Liu Biometrika 107 (4), 919-933, 2020 | 16 | 2020 |
Aggregated expectile regression by exponential weighting Y Gu, H Zou Statistica Sinica 29 (2), 671-692, 2019 | 13 | 2019 |
A unified approach to sparse Tweedie modeling of multisource insurance claim data S Fontaine, Y Yang, W Qian, Y Gu, B Fan Technometrics 62 (3), 339-356, 2020 | 12 | 2020 |
DISTRIBUTED SPARSE COMPOSITE QUANTILE REGRESSION IN ULTRAHIGH DIMENSIONS. C Chen, Y Gu, H Zou, L Zhu Statistica Sinica 33, 2023 | 4 | 2023 |
Density-Convoluted Support Vector Machines for High-Dimensional Classification B Wang, L Zhou, Y Gu, H Zou IEEE transactions on information theory 69 (4), 2523-2536, 2022 | 4 | 2022 |
Flexible Regularized Estimating Equations: Some New Perspectives Y Yang, Y Gu, Y Zhao, J Fan arXiv preprint arXiv:2110.11074, 2021 | 1 | 2021 |
Unconventional Regression for High-Dimensional Data Analysis Y Gu | 1 | 2017 |
fastkqr: A Fast Algorithm for Kernel Quantile Regression Q Tang, Y Gu, B Wang arXiv preprint arXiv:2408.05393, 2024 | | 2024 |
Package" free" Y Yang, Y Zhao, Y Lian, Y Gu, J Fan | | 2022 |
Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression Z Niu, Y Gu, W Li arXiv preprint arXiv:2204.00111, 2022 | | 2022 |
Density-Convoluted Support Vector Machines for High-Dimensional Classification Z LE, B WANG, Y GU, HUI ZOU | | |
Supplement to “Distributed Sparse Composite Quantile Regression in Ultrahigh Dimensions” C Chen, Y Gu, H Zou, L Zhu | | |