赵慧

讲授课程

概率论、数理统计、多元统计分析、时间序列分析、线性模型、广义线性模型、非参数与半参数统计、生存分析、高等数理统计、计量经济学、大数据统计基础、高维统计学

研究方向

高维统计分析、生存分析、纵向数据分析、图模型、因果推断

社会职务

中国现场统计研究会多个分会理事

工作经历（按时间倒序）

09/2018-至今中南财经政法大学，统计与数学学院，教授

07/2014-08/2018华中师范大学，数学与统计学学院，教授

07/2008-06/2014华中师范大学，数学与统计学学院，副教授

09/2016-09/2017美国密苏里大学，统计学系，访问学者

12/2014-02/2015香港理工大学，应用数学系，访问学者

01/2011-02/2012 美国密苏里大学，统计学系，博士后

04/2010-07/2010 中国科学院，应用数学所，访问学者

07/2005-06/2007 中国科学院，系统科学研究所，博士后

教育背景（按时间倒序）

2005年 北京大学，数理统计，博士

2000年 华中师范大学，数理统计，硕士

1997年 河南师范大学，计算数学，学士

科学研究

1) 科研论文

部分已发表论文如下：

Book chapter：Wu,Q.,Zhao,H., Sun, J.(2020). Variable Selection of Interval-Censored Failure Time Data. In: Bekker, A., Chen,.DG.,Ferreira,J.T.(eds). Computational and Methodological Statistics and Biostatistics. Emerging Topics in Statistics and Biostatistics.Springer,Cham.https://doi.org/10.1007/978-3-030-42196-0_20

赵慧,张瑜,邵酩媛 (2025+). 去中心化分布式期望回归的稀疏学习,系统科学与数学（待发表）.

Yuxiang Wu, Mingyue Du, Hui Zhao, Jianguo Sun (2025). Subgroup analysis for high dimensional survival data based on penalized fusion and model averaging.Electronic Journal of Statistics, 19(1):291-313.

Lin Luo, Jinzhao Yu, Hui Zhao* (2024). The sparse estimation of the semiparametric linear transformation model with dependent current status data, Journal of Applied Statistics. 51(4): 759-779 (ID: 2161488)

Jinzhao Yu, Daoji Li, Lin Luo, Hui Zhao* (2024). Reproducible learning for accelerated failure time models via deep knockoffs, Communications in Statistics - Theory and Methods. 53(18)：6544-6560.

Daoji Li, Jinzhao Yu, Hui Zhao* (2023). CoxKnockoff : Controlled feature selection for the Cox model using knockoffs, Stat.12, e607.  

Lei Ge, Jaihee Choi, Hui Zhao, Jianguo Sun (2023). Regression analysis of mixed panel count data with dependent observation processes, Journal of Nonparametric Statistics.35(4):669-684.

Yuxiang Wu, Hui Zhao, Jianguo Sun (2023).Group variable selection for Cox model with Interval-censored Failure Time Data,Biometrics. 79(4): 3082-3095.

Qingkai Dong, Binxia Liu, Hui Zhao* (2023). Weighted least squares model averaging for accelerated failure time models, Computational Statistics and Data Analysis.Vol 184: 107743.

Binxia Liu, Hui Zhao, Chunjie Wang. (2023).Bayesian empirical likelihood of linear regression model with current status data, Communications in Statistics - Theory and Methods, 52(20): 7323-7333. Published online: 24 Mar 2022.

Lin Luo, Hui Zhao*. (2023).A new approach to regression analysis of linear transformation model with interval-censored data, Communications in Statistics - Theory and Methods.52(15): 5470-5482.  

赵慧，刘斌霞，董庆凯，张新雨(2023). 加速失效时间模型下现状数据的Jackknife模型平均，应用数学学报，2023年5月46卷第3期：313-328.

赵慧，于金钊(2023). 可加风险模型下现状数据的降维问题, 数理统计与管理,2023年5月42卷第3期：439-448.

赵慧，董庆凯(2022). 当前状态数据的可加风险模型变量选择方法,系统科学与数学. 42(5):  1314-1329.

Mingyue Du, Hui Zhao*, Jianguo Sun. (2021). A unified approach to variable selection for Cox’s proportional hazards model with interval-censored failure time data. Statistical Methods in Medical Research,30(8),1833-1849.

Dayu Sun, Hui Zhao*, Jianguo Sun. (2021). Regression Analysis of Asynchronous Longitudinal Data with Informative Observation Processes, Computational Statistics & Data Analysis,157, 107161.

Lin Luo, Hui Zhao*. (2021). Robust regression analysis for Clustered Interval-Censored failure time data, Journal of Systems Science and Complexity,34:1156–1174.

Qiwei Wu, Hui Zhao*, Liang Zhu, Jianguo Sun. (2020). Variable selection for high-dimensional partly linear additive Cox model with application to Alzheimer's disease, Statistics in Medicine.39(23), 3120-3134.

Hui Zhao, Qiwei Wu, Peter B. Gilbert, Ying Q.Chen, Jianguo Sun, (2020). A regularized estimation approach for case-cohort periodic follow-up studies with an application to HIV vaccine trials, Biometrical Journal, 62,1176–1191.  

Qin Jiang, Hui Zhao, Hong Qin. (2019). On a general class of semiparametric hazards regression models for recurrent gap times, Acta Mathematicae Applicatae Sinica, English Series, 35 (3):549-563.

赵慧,崔琪, 孙建国. (2019).可加风险模型下相依 I 型区间删失数据的一个 Copula 推断方法, 中国科学：数学, 49 (9) , 1261-1272.

Hui Zhao, Dayu Sun, Gang Li, Jianguo Sun.(2019).Simultaneous Estimation and Variable Selection for Incomplete Event History Studies. Journal of Multivariate Analysis,171,350-361.

Guanglei Yu, Yang Li, Liang Zhu, Hui Zhao*, Jianguo Sun. (2019). An Additive-Multiplicative Means Model for Panel Count Data with Dependent Observation and Drop-out processes. Scandinavian Journal of Statistics, 46(2), 414-431.

Hui Zhao, Dayu Sun, Gang Li, Jianguo Sun. (2018). Variable selection for the recurrent event data with broken adaptive ridge regression.The CanadianJournal  of  Statistics. 46 (3): 416–428.

Hui Zhao, Chenchen Ma, Junlong Li, Jianguo Sun. (2018). Regression Analysis of Clustered Interval-Censored Failure Time Data with Linear Transformation Models in the Presence of Informative Cluster Size. Journal of  Nonparametric Statistics. 30 (3): 703–715.

Qi Cui, Hui Zhao, Jianguo Sun.(2018).  Semiparametric regression analysis of dependent current status data based on copula. Statistics and its interface. 11(3):463-471.

Peijie Wang, Hui Zhao*, Jianguo Sun.(2018). Inference on semiparametric transformation model with general interval-censored failure time data.Journal of Nonparametric Statistics.30(3): 758-773.

Da Xu, Hui Zhao, Jianguo Sun. (2018). Joint analysis of interval-censored failure time data and panel count data, Lifetime Data Analysis. 24(1):94-109.

Peijie Wang, Hui Zhao, Jianguo Sun. (2016). Regressionanalysisof case kinterval-censoredfailure time data in the presence of informative censoring.Biometrics,72,1103-1112.

Liang Zhu, Hui Zhao*, Jianguo Sun, Wendy Leisenring, Leslie L. Robison. (2015). Regression analysis of mixed recurrent-event and panel-count data with additive rate models. Biometrics, 71,71-79.

Jianguo Sun, Yanqin Feng, Hui Zhao. (2015).Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model. Lifetime Data Analysis,21(1),138-55.

Yang Li, Hui Zhao*, Jianguo Sun,(2014).Nonparametric tests for panel count data with unequal observation processes. Computational Statistics and Data Analysis, 73, 103-111.

Hui Zhao, Kate Virkler, Jianguo Sun,(2014).Nonparametric comparison for multivariate panel count data.  Communications in Statistics - Theory and Methods. Vol. 43(3), 644-655.

Liang Zhu, Hui Zhao, Jianguo Sun, Stanley Pounds. (2014).A conditional approach for regression analysis of longitudinal data with informative observation time and non-negligible observation duration, Communications in Statistics - Theory and Methods. 43, 4998-5011.

Haixiang Zhang, Hui Zhao*, Jianguo Sun, Dehui Wang,(2013).Regression analysis of multivariate panel count data with informative observation process. Journal of Multivariate Analysis. 119, 71-80.

Hui Zhao, Yang Li, Jianguo Sun, (2013). Analyzing panel count data with dependent observation process and a terminal event.  The Canadian Journal of Statistics, 41, 174-191.

Liang Zhu, Hui Zhao*, Jianguo Sun, Pounds Stanley, (2013).Joint analysis of longitudinal data and recurrent episodes data with application to medical cost analysis, Biometrical Journal, 55,5-16.

Hui Zhao, Yang Li, Jianguo Sun, (2013). Semiparametric analysis of multivariate panel count data with dependent observation process and terminal event. Journal of Nonparametric Statistics,  25, 379-394.

Hui Zhao, Jie Zhou, Liuquan Sun, (2013). A marginal additive rates model for recurrent event data with a terminal event. Communications in Statistics - Theory and Methods, 42,2567-2583.

Ni Li, Hui Zhao, Jianguo Sun, (2013). Semiparametric transformation models for panel count data with correlated observation and follow-up times, Statistics in Medicine, 32,3039-3054.

Liang Zhu, Xingwei Tong, Hui Zhao, Jianguo Sun, Deo Kumar Srivastava, Wendy Leisenring, Leslie L. Robison, (2013). Statistical analysis of mixed recurrent event data with application to cancer survivor study, Statistics in Medicine, 32(11),1954-1963.

Hui Zhao, Ningning Jiang, (2012). A two-stage estimation algorithm for a type of current status data. Journal of Systems Science and Complexity, 25, 556-566.

Hui Zhao, Dan Yu, (2009). A random effects generalized linear model for reliability compositive evaluation. Science in China(A), 52, 2218-2227.

Hui Zhao, Zhongguo Zheng, Baijun Liu, (2005). On the Markov equivalence of maximal ancestral graphs. Science in China (A),48(4),548-562.

Baijun Liu, Zhongguo Zheng, Hui Zhao, (2005).An efficient algorithm for finding the largest chain graph given chain graph. Science in China (A), 48(11), 517-1530.

Xingwei Tong, Hengjian Cui, Hui Zhao, (2005).Asymptotics of Huber-Dutter estimators for partial linear model with nonstochastic designs.Acta Mathematicae Applicatae Sinica, 21,257-268.

赵慧, 郑忠国, 许静. 含隐变量和选择偏差的图模型中的因果推断. 北京大学学报 (自然科学版), 2006, 42(05):584-589.(EI)

赵慧, 郑忠国.(2008).Gauss因果模型中因果效应识别方法的比较, 数学物理学报,  28,808-817.

赵慧, 郑忠国.(2007).图模型及其在统计建模中的应用，数理统计与管理, 26(3): 741-746.

赵慧, 郑忠国.(2007).中药降脂灵片药效的因果分析，数理统计与管理, 26(4),427-431.

2) 科研项目

主持国家自然科学基金项目：基于区间删失数据的变量选择及相关问题研究(2022,01-2025,12)

主持国家自然科学基金项目：复杂区间删失数据的统计推断及其应用(2015,01-2018,12)

主持国家自然科学基金项目：不依从机制下随机化试验中的因果推断(2011,01-2013,12)

参加国家自然科学基金项目：统计模拟抽样算法及相关问题研究(2016,01- 2019,12)

参加国家自然科学基金项目：基因连锁分析中的若干统计问题(2006,01- 2008,12)

主持中国博士后科学基金项目:《基于贝叶斯网络的若干统计机器学习问题》(2006,01-2006,12)

主持中央高校基本科研业务费专项资金多项（略）

教学研究

1) 教材和专著

郑忠国,童行伟,赵慧.《高等统计学》,北京大学出版社，2012.

2) 教学项目

荣誉与奖励

1) 教学获奖

《概率论与数理统计系列课程应用能力培养的研究与实践》，湖北省高等学校教学成果奖，二等奖，2006年

2) 科研奖励

中国科学院系统科学研究所许国志博士后工作奖励基金，2006

第八届“五四”京津地区概率统计学术讨论会优秀论文奖，2004