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ORCIDZhongyi Zhu
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- affiliation: Fudan University, Shanghai, China
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2020 – today
- 2025
[j17]Shanshan Qin, Guanlin Zhang, Yuehua Wu, Zhongyi Zhu:
Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity. Comput. Stat. Data Anal. 203: 108072 (2025)- 2024
- [j16]Wenqi Lu, Zhongyi Zhu, Rui Li
, Heng Lian:
Statistical performance of quantile tensor regression with convex regularization. J. Multivar. Anal. 200: 105249 (2024) - [i1]Ruqian Zhang, Yijiao Zhang, Annie Qu, Zhongyi Zhu, Juan Shen:
CONCERT: Covariate-Elaborated Robust Local Information Transfer with Conditional Spike-and-Slab Prior. CoRR abs/2404.03764 (2024) - 2022
- [j15]Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, Jiajia Zhang:
Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study. Comput. Stat. Data Anal. 175: 107553 (2022) - [j14]Fangzheng Lin, Yanlin Tang, Huichen Zhu, Zhongyi Zhu:
Spatially clustered varying coefficient model. J. Multivar. Anal. 192: 105023 (2022) - 2021
- [j13]Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, Zhongyi Zhu:
Clusterwise functional linear regression models. Comput. Stat. Data Anal. 158: 107192 (2021) - [j12]Jianwei Shi, Guoyou Qin, Huichen Zhu, Zhongyi Zhu:
Communication-efficient distributed M-estimation with missing data. Comput. Stat. Data Anal. 161: 107251 (2021) - [j11]Wenqi Lu, Guoyou Qin, Zhongyi Zhu, Dongsheng Tu:
Multiply robust subgroup identification for longitudinal data with dropouts via median regression. J. Multivar. Anal. 181: 104691 (2021) - 2020
- [j10]Fangzheng Lin, Yanlin Tang, Zhongyi Zhu:
Weighted quantile regression in varying-coefficient model with longitudinal data. Comput. Stat. Data Anal. 145: 106915 (2020) - [j9]Ping Yu, Zhongyi Zhu, Jianhong Shi, Xikai Ai:
Robust Estimation for Partial Functional Linear Regression Model Based on Modal Regression. J. Syst. Sci. Complex. 33(2): 527-544 (2020)
2010 – 2019
- 2019
- [j8]Haiqiang Ma, Ting Li, Hongtu Zhu, Zhongyi Zhu:
Quantile regression for functional partially linear model in ultra-high dimensions. Comput. Stat. Data Anal. 129: 135-147 (2019) - [j7]Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, Wanghong Xu:
A novel robust approach for analysis of longitudinal data. Comput. Stat. Data Anal. 138: 83-95 (2019) - [j6]Ping Yu, Zhongyi Zhu, Zhongzhan Zhang:
Robust exponential squared loss-based estimation in semi-functional linear regression models. Comput. Stat. 34(2): 503-525 (2019) - 2018
- [j5]Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, Jiajia Zhang:
Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers. J. Multivar. Anal. 168: 261-275 (2018) - 2016
- [j4]Haiqiang Ma, Zhongyi Zhu:
Continuously dynamic additive models for functional data. J. Multivar. Anal. 150: 1-13 (2016) - 2013
- [j3]Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu:
Variable selection in quantile varying coefficient models with longitudinal data. Comput. Stat. Data Anal. 57(1): 435-449 (2013) - [j2]Yanlin Tang, Xinyuan Song, Huixia Judy Wang, Zhongyi Zhu:
Variable selection in high-dimensional quantile varying coefficient models. J. Multivar. Anal. 122: 115-132 (2013) - 2011
- [j1]Jiarui Feng, Zhongyi Zhu:
Semiparametric analysis of longitudinal zero-inflated count data. J. Multivar. Anal. 102(1): 61-72 (2011)
Coauthor Index
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