朱仲义 - 复旦大学

个人简介

教育背景博士,系统工程,东南大学学士,数学,东南大学学术经历 2010.01——2010.02,访问学者,美国北卡州立大学 2008.07——2008.08,访问学者,美国北卡州立大学 2007.01——2007.03,访问学者,美国University of Illinois at Urbana Champaign统计学系 2002.07——2002.12,访问学者,香港大学 1999.10——2000.04,访问学者,香港大学 1993.09——1994.09,访问学者,东南大学科研获奖 2015.02,教育部自然科学奖,二等奖,中华人民共和国教育部教学获奖 2014.04,上海市研究生优秀成果（学位论文）,上海市教育委员会、上海市学位委员会学术任职 2023.01 - 2026.12, Associate Editor, Journal of the American Statistical Association 2018.01 - 2022.12, 编辑委员会编委, 中国科学：数学 2012.01 - 2015.01, Associate Editor, Statistica Sinica 2009.07 - 2013.12, 编委, 数理统计与管理 2009.07 - 2013.07, 常务理事, 中国现场统计研究会 2006.10 - 2014.10, 副理事长, 中国数学会概率统计学会 2006.10 - 2011.10, 编委, 应用概率统计 2006.06 - 2010.06, 常务理事, 中国现场统计研究会国际标准与技术法规分会 2005.07 - 2013.07, 理事, 中国现场统计研究会

研究领域

非参数和半参数模型；回归诊断；纵向（面板）数据模型；保险精算信度理论

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Kecheng Wei, Guoyou Qin, and Zhongyi Zhu. 2023. Subgroup analysis for longitudinal data based on a partial linear varying coefficient model with a change plane. Statistics in Medicine 42(20).3716-3731. Yanlin Tang, Jinglong Wang, and Zhongyi Zhu. 2023. On the MLE of the waring distribution. Statistical Theory and Related Fields 7(2).144-158. Wenqi Lu, Zhongyi Zhu, and Heng Lian. 2023. Sparse and low-rank matrix quantile estimation with application to quadratic regression. Statistica Sinica 33(2).945-959. Yuexia Zhang, Peibei Shi, Zhongyi Zhu, Linbo Wang, and Annie Qu. 2023. Weak signal identification and inference in penalized likelihood models for categorical responses. Statistica Sinica 33(2).759-786. Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Jiajia Zhang. 2022. Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study. Computational Statistics & Data Analysis 175.1-21. Fangzheng Lin, Yanlin Tang, Huichen Zhu, and Zhongyi Zhu. 2022. Spatially clustered varying coefficient model. Journal of Multivariate Analysis 192.1-22. Xiaohui Liu, Wenqi Lu, Heng Lian, Yuzi Liu, and Zhongyi Zhu. 2022. Partially linear additive functional regression. Statistica Sinica 32(4).2199-2216. Yingying Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2022. Single-index thresholding in quantile regression. Journal of the American Statistical Association 117(540).2222–2237. Ting Li, Tengfei Li, Zhongyi Zhu, and Hongtu Zhu. 2022. Regression analysis of asynchronous longitudinal functional and scalar data. Journal of the American Statistical Association 117(539).1228-1242. Wu Wang and Zhongyi Zhu. 2022. Group structure detection for a high-dimensional panel data model. The Canadian Journal of Statistics 50(3).852-866. Kecheng Wei, Huichen Zhu, Guoyou Qin, Zhongyi Zhu, and Dongsheng Tu. 2022. Multiply robust subgroup analysis based on a single-index threshold linear marginal model for longitudinal data with dropouts. Statistics in Medicine 41(15).2822-2839. Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Bo Fu. 2022. Robust estimation of models for longitudinal data with dropouts and outliers. Journal of Applied Statistics 49(4).902–925. Ping Yu, Ting Li, Zhongyi Zhu, and Jianhong Shi. 2021. Composite quantile estimation in partial functional linear regression model based on polynomial spline. Acta Mathematica Sinica, English Series 37(10).1627-1644. Jianwei Shi, Guoyou Qin, Huichen Zhu, and Zhongyi Zhu. 2021. Communication-efficient distributed M-estimation with missing data. Computational Statistics & Data Analysis 161.1-21. Yingying Zhang, Heng Lian, Guodong Li, and Zhongyi Zhu. 2021. Functional additive quantile regression. Statistica Sinica 31.1331-1351. Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, and Zhongyi Zhu. 2021. Clusterwise functional linear regression models. Computational Statistics & Data Analysis 158.1-15. Rui Li, Wenqi Lu, Zhongyi Zhu, and Heng Lian. 2021. Optimal prediction of quantile functional linear regression in reproducing kernel Hilbert spaces. Journal of Statistical Planning and Inference 211.162-170. Wenqi Lu, Guoyou Qin, Zhongyi Zhu, and Dongsheng Tu. 2021. Multiply robust subgroup identification for longitudinal data with dropouts via median regression. Journal of Multivariate Analysis 181.1-15. Wu Wang, Xuming He, and Zhongyi Zhu. 2020. Statistical inference for multiple change-point models. Scandinavian Journal of Statistics 47(4).1149-1170. Yang Lv, Xiaolu Zhu, Zhongyi Zhu, and Annie Qu. 2020. Nonparametric cluster analysis on multiple outcomes of longitudinal data. Statistica Sinica 30(4).1829-1856. Wenqi Lu, Zhongyi Zhu, and Heng Lian. 2020. High-dimensional quantile tensor regression. Journal of Machine Learning Research 21.1-31. Ting Li and Zhongyi Zhu. 2020. Inference for generalized partial functional linear regression. Statistica Sinica 30(3).1379-1397. Fangzheng Lin, Yanlin Tang, and Zhongyi Zhu. 2020. Weighted quantile regression in varying-coefficient model with longitudinal data. Computational Statistics & Data Analysis 145.1-21. Ping Yu, Zhongyi Zhu, Jianhong Shi, and Xikai Ai. 2020. Robust estimation for partial functional linear regression model based on modal regression. Journal of Systems Science & Complexity 33(2).527-544. Li-wen Zhang and Zhong-yi Zhu. 2019. Estimating restricted common structural changes for panel data. Acta Mathematicae Applicatae Sinica-English Series 35(4).893-908. Yingying Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2019. Quantile-regression-based clustering for panel data. Journal of Econometrics 213(1).54-67. Yingying Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2019. Robust subgroup identification. Statistica Sinica 29(4).1873-1889. Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Wanghong Xu. 2019. A novel robust approach for analysis of longitudinal data. Computational Statistics & Data Analysis 138.83-95. Ping Yu, Ting Li, Zhongyi Zhu, and Zhongzhan Zhang. 2019. Composite quantile estimation in partial functional linear regression model with dependent errors. Metrika 82(6).633-656. Yang Lv, Guoyou Qin, Zhongyi Zhu, and Dongsheng Tu. 2019. Quantile regression and empirical likelihood for the analysis of longitudinal data with monotone missing responses due to dropout, with applications to quality of life measurements from clinical trials. Statistics in Medicine 38(16).2972-2991. Ping Yu, Zhongyi Zhu, and Zhongzhan Zhang. 2019. Robust exponential squared loss-based estimation in semi-functional linear regression models. Computational Statistics 34(2).503-525. Haiqiang Ma, Ting Li, Hongtu Zhu, and Zhongyi Zhu. 2019. Quantile regression for functional partially linear model in ultra-high dimensions. Computational Statistics & Data Analysis 129.135-147. Yuexia Zhang, Guoyou Qin, Zhongyi Zhu, and Jiajia Zhang. 2018. Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers. Journal of Multivariate Analysis 168.261-275. Huiming Lin, Guoyou Qin, Jiajia Zhang, and Zhongyi Zhu. 2018. Analysis of longitudinal data with covariate measurement error and missing responses: An improved unbiased estimating equation. Computational Statistics & Data Analysis 121.104-112. Yali Fan, Yanlin Tang, and Zhongyi Zhu. 2018. Variable selection in censored quantile regression with high dimensional data. Science China Mathematics 61(4).641-658. Huiming Lin, Bo Fu, Guoyou Qin, and Zhongyi Zhu. 2017. Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts. Biometrics 73(4).1132-1139. Wu Wang and Zhongyi Zhu. 2017. Variable selection for the partial linear single-index model. Acta Mathematicae Applicatae Sinica (English Series) 33(2).373-388. Liwen Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2017. Composite change point estimation for bent line quantile regression. Annals of the Institute of Statistical Mathematics 69(1).145-168. Wu Wang and Zhongyi Zhu. 2017. Conditional empirical likelihood for quantile regression models. Metrika 80(1).1-16. Guoyou Qin, Jiajia Zhang, Zhongyi Zhu, and Wing Fung. 2016. Robust estimation of partially linear models for longitudinal data with dropouts and measurement error. Statistics in Medicine 35(29).5401-5416. Haiqiang Ma, Yang Bai, and Zhongyi Zhu. 2016. Dynamic single-index model for functional data. Science China Mathematics 59(12).2561-2584. Qin Guoyou, Zhongyi Zhu, and Wing K. Fung. 2016. Robust estimation of generalized partially linear model for longitudinal data with dropouts. Annals of The Institute of Statistical Mathematics 68(5).977-1000. Guoyou Qin, Jiajia Zhang, and Zhongyi Zhu. 2016. Quantile regression in longitudinal studies with dropouts and measurement errors. Journal of Statistical Computation and Simulation 86(17).3527-3542. Haiqiang Ma and Zhongyi Zhu. 2016. Continuously dynamic additive models for functional data. Journal of Multivariate Analysis 150.1–13. Guoyou Qin, Jie Mao, and Zhongyi Zhu. 2016. Joint mean–covariance model in generalized partially linear varying coefficient models for longitudinal data. Journal of Statistical Computation and Simulation 86(6).1166-1182. Guoyou Qin, Jiajia Zhang, and Zhongyi Zhu. 2016. Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error. Computational Statistics & Data Analysis 96.24-39. Liwen Zhang and Zhongyi Zhu. 2015. Testing for change points in partially linear models. Acta Mathematicae Applicatae Sinica 31(4).879-892. Yanlin Tang, Xinyuan Song, and Zhongyi Zhu. 2015. Threshold effect test in censored quantile regression. Statistics & Probability Letters 105.149-156. Guoyou Qin and Zhongyi Zhu. 2015. Robust estimation of mean and covariance for longitudinal data with dropouts. Journal of Applied Statistics 42(6).1240-1254. Yanlin Tang, Xinyuan Song, and Zhongyi Zhu. 2015. Variable selection via composite quantile regression with dependent errors. Statistica Neerlandica 69(1).1-20. Xiaobing Zhao, Jinglong Wang, Zhou Xian, and Zhongyi Zhu. 2015. Recurrent events analysis in the presence of terminal event and zero-recurrence subjects. Communications in Statistics-Theory and Methods 44(4).710-725. Yali Fan, Guoyou Qin, and Zhongyi Zhu. 2014. Robust variable selection in linear mixed models. Communications in Statistics-Theory and Methods 43(21).4566-4581. Liwen Zhang, Huixia Judy Wang, and Zhongyi Zhu. 2014. Testing for change points due to a covariate threshold in quantile regression. Statistica Sinica 24(4).1859-1877. Yanlin Tang, Liya Xiang, and Zhongyi Zhu. 2014. Risk factor selection in rate making: EM adaptive lasso for zero-inflated poisson regression models. Risk Analysis 34(6).1112-1127. Xueying Zheng, Wing Kam Fung, and Zhongyi Zhu. 2014. Variable selection in robust joint mean and covariance model for longitudinal data analysis. Statistica Sinica 24(2).515-531. Qingming Zou and Zhongyi Zhu. 2014. M-estimators for single-index model using B-spline. Metrika 77(2).225-246. Yanlin Tang, Xinyuan Song, Huixia Judy Wang, and Zhongyi Zhu. 2013. Variable selection in high-dimensional quantile varying coefficient models. Journal of Multivariate Analysis 122.115-132. Xiaolu Zhu and Zhongyi Zhu. 2013. Comparison of criteria to select working correlation matrix in generalized estimating equations. Chinese Journal of Applied Probability and Statistics 29(5).515-530. Xueying Zheng, Wing Kam Fung, and Zhongyi Zhu. 2013. Robust estimation in joint mean-covariance regression model for longitudinal data. Annals of the Institute of Statistical Mathematics 65(4).617-638. Yanlin Tang, Huixia Judy Wang, and Zhongyi Zhu. 2013. Variable selection in quantile varying coefficient models with longitudinal data. Computational Statistics & Data Analysis 57(1).435-449. Tang, Yanlin, Huixia Judy Wang, Xuming He, and Zhongyi Zhu. 2012. An informative subset-based estimator for censored quantile regression. Test 21(4).635-655. Fan, Yali, Guoyou Qin, and Zhongyi Zhu. 2012. Variable selection in robust regression models for longitudinal data. Journal of Multivariate Analysis 109(1).156-167. Qin, Guoyou, Zhongyi Zhu, and Wing K. Fung. 2012. Robust estimation of the generalised partial linear model with missing covariates. Journal of Nonparametric Statistics 24(2).517-530. Wang, Huixia Judy, Leonard A. Stefanski, and Zhongyi Zhu. 2012. Corrected-loss estimation for quantile regression with covariate measurement errors. Biometrika 99(2).405-421. Tang, Yanlin, Huixia Judy Wang, Zhongyi Zhu, and Xinyuan Song. 2012. A unified variable selection approach for varying coefficient models. Statistica Sinica 22(2).601-628. Qin, Guoyou, Yang Bai, and Zhongyi Zhu. 2012. Robust empirical likelihood inference for generalized partial linear models with longitudinal data. Journal of Multivariate Analysis 105(1).32-44. Zhang, Tao and Zhongyi Zhu. 2011. Empirical likelihood inference for longitudinal data with missing response variables and error-prone covariates. Communications in Statistics-Theory and Methods 40(18).3230-3244. Mao, Jie and Zhongyi Zhu. 2011. Joint mean-covariance models with applications to longitudinal data in partially linear model. Communications in Statistics-Theory and Methods 40(17).3119-3140. Mao, Jie, Zhongyi Zhu, and Wing K. Fung. 2011. Joint estimation of mean-covariance model for longitudinal data with basis function approximations. Computational Statistics & Data Analysis 55(2).983-992. Mao, Jie and Zhongyi Zhu. 2011. Joint semiparametric mean-covariance model in longitudinal study. Science China Mathematics 54(1).145-164. Jiarui Feng and Zhongyi Zhu. 2011. Semiparametric analysis of longitudinal zero-inflated count data. Journal of Multivariate Analysis 102(1).61-72. Yang Bai, Wing Kam Fung, Zhongyi Zhu. 2010. Weighted Empirical Likelihood for Generalized Linear Models with Longitudinal Data. Journal of Statistical Planning and Inference 140(11).3446-3456. Huixia Judy Wang, Zhongyi Zhu, Jianhui Zhou. 2009. Quantile Regression in Partially Linear Varying Coefficient Models. The Annals of Statistics 37(6B).3841-3866. Qingming Zou,Zhongyi Zhu,Jinglong Wang. 2009. Local Influence Analysis for Penalized Gaussian Likelihood Estimation in Partially Linear Single-index Models. Annals of the Institute of Statistical Mathematics Vol.61(4).905-918. Guoyou Qin,Yang Bai,Zhongyi Zhu. 2009. Robust Empirical Likelihood Inference for Longitudinal Data. Statistics & Probability Letters Vol.79(20).2101-2108. Guoyou Qin,Zhongyi Zhu. 2009. Local Asymptotic Behavior of Regression Splines for Marginal Semiparametric Models with Longitudinal Data. Science in China Series A: Mathematics Vol.52(9).1982-1994. Guoyou Qin,Zhongyi Zhu. 2009. Robustified Maximum Likelihood Estimation in Generalized Partial Linear Mixed Model for Longitudinal Data. Biometrics Vol.65(1).52-59. Guoyou Qin,Zhongyi Zhu,Wing K. Fung. 2009. Robust Estimation of Covariance Parameters in Partial Linear Model for Longitudinal Data. Journal of Statistical Planning and Inference Vol.139(2).558-570. Yang Bai,Wing K. Fung,Zhongyi Zhu. 2009. Penalized Quadratic Inference Functions for Single-Index Models with Longitudinal Data. Journal of Multivariate Analysis Vol.100(1).152-161. ZHONGYI ZHU,WING K.FUNG,XUMING HE. 2008. On the asymptotics of marginal regression splines with longitudinal data. Biometrika vol.95(4).907-917. Guo You Qin,Zhong Yi Zhu,Wing K.Fung. 2008. Robust estimating equations and bias correction of correlation parameters for longitudinal data. Computational Statistics and Data Analysis vol.52(10).4745-4753. Qin Guoyou, Zhu Zhongyi. 2008. ROBUST ESTIMATION IN PARTIAL LINEAR MIXED MODEL FOR LONGITUDINAL DATA. Acta Mathematica Scientia Vol.28B（2）.333-347. Jianhui Zhou, Zhongyi Zhu,Wing K.Fung. 2008. Robust Testing With Generalized partial linear models for longitudinal data. Journal of Statistical Planning and Inference Vol.138(6).1871-1883. YANG BAI,ZHONGYI ZHU,WING K.FUNG. 2008. Partial linear models for longitudinal data based on quadratic inference functions. Scandinavian Journal of statistics Vol.35(1).104-118. Chi Ho Lo, Wing Kam Fung,ZhongYi Zhu. 2007. STRUCTURAL PARAMETER ESTIMATION USING GENERALIZED ESTIMATING EQUATIONS FOR REGRESSION CREDIBILITY MODELS. ASTIN Bulletin vol.37(2).323-343. Guoyou Qin, Zhongyi Zhu. 2007. Robust estimation in generalized semiparametric mixed models for longitudinal data. Journal of Multivariate Analysis 98(8).1658-1683. Lo, C. H. and Fung, W. K,朱仲义. 2006. Generalized estimating equations for variance and covariance parameters in regression credibility models. Insurance: Mathematics & Economics 39(1).99-113. Xuming He,Wing K.Fung,Zhongyi Zhu. 2005. Robust Estimation in Generalized Partial Linear Models for Clustered Data. Journal of the American Statistical Assoctiation Vol.100(472).1176-1184. Zhongyi Zhu,Wing.K.Fung. 2004. Variance component testing in semiparametric mixed models. Journal of Multivariate Analysis vol.91.107-118. Zhongyi Zhu, Xuming He, Wing-Kam Fung. 2003. Local Influence Analysis for Penalized Gaussian Likelihood Estimators in Partially Linear Models. Scandinavian Journal of Statistics 30(4).767-780. XUMING HE,ZHONG-YI ZHU,W K Fung. 2002. Estimation in a semiparametric model for longitudinal data with unspecified dependence structure.. Biometrika vol.89(3).567-590. Wing-Kam Fung ，Zhong-yi Zhu,Bo-cheng Wei，Xuming He. 2002. Influence diagnostic and outlier tests for semiparametric mixed models. . J. R. Stat. Soc Ser B ，. vol.64(3).565-579. Zhu Zhongyi(朱仲义),Tang Ninsheng,Wei Bocheng(韦博成). 2000. ON CONFIDENCE REGIONS IN SEMIPARAMETRIC NONLINEAR REGRESSION(A GEOMETRIC APPROACH). 数学物理学报Acta Math.Scientia. vol.20(1).68-75. 吕洋，朱紫怡，郭星砚，朱仲义. 在线问答平台中基于回答质量的用户排序模型——以“知乎”为例. 数理统计与管理, 2023, 42(5): 761-774. 吕洋，朱仲义. 带有固定效应的半参数面板数据模型的回归样条估计. 应用概率统计, 2018, 34(1): 84-94. 邹清明，朱仲义. 部分线性单指标模型的两步M-估计的大样本性质. 应用数学学报, 2014, 37(2): 218-233. 项丽雅，朱仲义. 两种ZIP模型的比较及其在保费厘定中的应用. 数理统计与管理, 2013, 32(5): 854-862. 倪艳风，朱仲义. 纵向数据广义部分线性模型的惩罚GMM估计. 应用概率统计, 2012, 28(3): 285-300. 陈淙洁，朱仲义. 广义单指标混合模型的随机效应存在性检验. 应用概率统计, 2011, 27(1): 29-38. 邹清明,王静龙,朱仲义. 具有Rao简单结构的多元t-模型的MLE及其精确分布. 应用概率统计, 2009, Vol.25(4): 398-408. 张浩,朱仲义. 半参数广义线性混合效应模型的估计及其渐近性质. 应用概率统计, 2009, Vol.25(2): 171-184. 陈淙洁,朱仲义. 决定人民币均衡汇率因素的统计分析. 数理统计与管理, 2009, Vol.28(1): 103-110. 冀运齐，朱仲义. PA条件不成立时GEE方法中的检验问题. 应用概率统计, 2008, 24(5): 541-553. 曾林蕊，朱仲义. 连续型半参数广义线性纵向数据模型的方差成分检验. 数学物理学报, 2008, vol.28A(4): 585-594. 张霞峰,朱仲义. 单指标模型的若干检验问题. 高校应用数学学报, 2007, vol.22(4): 416-426. 张霞峰,朱仲义. 单指标模型的异方差检验的就渐进性质. 工程数学学报, 2007, vol.24(2): 292-302. 曾林蕊,朱仲义,卢一强. 离散型半参数广义线性随机效应纵向数据模型的方差成分检验. 应用概率统计, 2007, vol.23(3): 329-336. 曾林蕊,朱仲义. 半参数广义线性随机效应模型的影响分析. 数学物理学报, 2007, vol.27A(4): 584-593. 邹清明, 朱仲义. 具有Rao简单结构的多元t-模型的MLE的数字特征. 应用数学, 2007, vol.20(3): 574-580. 张浩,朱仲义. 半参数广义线性混合效应模型的影响分析. 应用数学学报, 2007, vol.30（4）: 743-756. 秦国友,朱仲义. 部分线性混合效应模型中方差分量的稳健估计. 应用概率统计, 2007, vol.23(2): 207-214. 李梦隽,朱仲义. 上海市居民生活情况抽样调查中指标的估计. 统计教育, 2006, vol.78(3): 18-20. 朱仲义，冉昊. 半参数随机效应模型的异方差检验. 数学物理学报, 2006, vol.26(A): 343-352. 余火军,朱仲义. 纵向数据模型均值参数和方差参数的影响分析. 应用概率统计, 2005, vol.21(1): 40-52. 曾林蕊,朱仲义,茆诗松. 半参数广义线性模型的影响分析与异常点检验. 高校应用数学学报A辑, 2004, vol.19(3): 323-332. 冉昊,朱仲义. 半参数回归模型的异方差统计分析. 应用概率统计, 2004, vol.20(1): 83-90. 朱仲义,韦博成. 半参数非线性模型的统计诊断与影响分析. 应用数学学报, 2001, vol.24(4): 568-581. 朱仲义,韦博成. 半参数非线性回归模型渐近推断的几何. 应用数学学报, 2001, vol.24(1): 87-99. Tan N.S，朱仲义,Wei B.C. 非线性再生散度模型的渐近性质. 数学物理学报, 2000, vol.20(3): 321-328. 唐年胜，朱仲义,韦博成. 非线性再生散度模型的几何结构及渐近推断. 数学年刊, 2000, vol.21A(3): 261-270. 著作中的章节朱仲义, 2010. 纵向数据模型的稳健推断. 收录于王启华, 史宁中, 耿直(主编), 《现代统计研究基础》. 科学出版社, pp. 88-127.