赵晓兵 (Zhao, Xiaobing)

• 博士 (PhD)，教授，博士生导师、硕士生导师

   

• 联系地址： 杭州下沙学源街18号，浙江财经大学，数据科学学院

• 电子信箱： maxbzhao@126.com/maxbzhao@zufe.edu.cn

• 邮    编： 310018

   

  最终学历：

• 2002.12-2006.12：香港理工大学，获哲学博士学位（PhD)

  博士后经历：

• 2006.10-2008.12: 华东师范大学金融与统计学院，博士后

   

  研究方向：

• 生存分析（Survival Analysis)

• 保险精算 (Actuarial Studies)

• 复发事件分析 (Recurrent Events Data Analysis)

• 医学统计 (Statistics in Medicine)

• 高维数据分析（Dimension Reduction Analysis)

  最近兴趣：

• 大数据分析（Massive data Analysis)

• 网络数据分析（Networks data Analysis)

   

  主持的国家级项目：

• 国家社会科学基金（一般项目），大数据环境下基于随机块模型的复杂网络社区发现理论、算法和应用. 2018.07-2021.06, 项目编号：18BTJ023. 在研.

• 国家自然科学基金（面上项目），复发事件中高维协变量的降维技术及其应用研究, 2013.01-2016.12，项目编号: 11271317.已经结题.

• 国家自然科学基金（面上项目），治愈模型和复发事件数据的联合建模,推断及应用, 2009.01-2011.12, 项目编号: 10871084, 已经结题.

   

  学术兼职：

• 美国数学评论评论员（Mathematical Reviews)

• 国家自然科学基金项目同行评议专家

• 国家社科基金评审专家库专家

• 浙江/黑龙江省自然科学基金评审专家

• 下列期刊匿名审稿人

  * Journal of the American Statistical Association

  * Biometrics

  * Scandinavian Journal of Statistics

  * Statistics in Medicine

  * Journal of Applied Statistics

  * Journal of Statistical Computation and Simulation

  * Journal of Nonparametric Statistics

  * Communication in Statistics: Simulation and Computation

  * Communication in Statistics: Theory and Methods

  * Journal of Systems Science and Complexity

  * Computer Methods and Programs in Biomedicine

  * Acta Mathematica Scientia，数学物理学报

  * Chinese Journal of Applied Probability and Statistics，应用概率统计

   

  主要海外经历：

• 2009.03-2009.06：澳大利亚麦考瑞大学精算系（Macquarie University)

• 2014.09-2015.08：美国西北大学医学院预防医学系（Northwestern University)

   

  入选人才情况：

• 浙江省高校中青年科学带头人

• 浙江财经大学杰出中青年教师资助计划(A类)

   

  主要学术论文：

  已经发表或接收：

  [32]Zhao, X.B. (赵晓兵) and Zhou, X. (2020). Partial sufficient dimension reduction on additive rates model for recurrent event data with high-dimensional covariates. Statistical Papers, 61,523-541.

  [31]Wang, W. W., Wu, X. Y. , Zhao, X.B. (赵晓兵) and Zhou. X. (2020). Quantile Regression of Panel Count Data on Quadratic Inference Functions. Journal of Statistical Planning and Inference, 207,230-245.

  [30]Wang, W. W., Wu, X. Y. , Zhao, X.B. (赵晓兵) and Zhou. X. (2019). Quantile Estimation of Partially Varying Coefficient Model for Panel Count Data with Informative Observation Times. Journal of Nonparametric Statistics, 31(4), 932-951.

  [29]Zhang, X. Q., Zhao, X.B. (赵晓兵) and Zheng, Y.Q. (2019). A novel approach to estimate the Cox model with temporal covariates and application to medical cost data. Preprint:Communications in Statistics-Simulation and Computation.

  [28]Zheng, Y.Q., Zhao, X.B. (赵晓兵), Zhang, X. Q.，Ye, X.Y. and Dai, Q. W. (2019). Mining the hidden link structure from distribution flows for a spatial social network. Preprint: Complexity.

  [27]Feng, Y., Zhao, X.B. (赵晓兵) and Zhou, X. (2018). Semiparametric random censorship models for survival data with long-term survivors. Preprint: Communications in Statistics-Simulation and Computation.

  [26]Wang, W. W., Wu, X. Y. Zhang, X.Q. and Zhao, X.B. (赵晓兵). (2019). Partial sufficient dimension reduction on the joint model of recurrent events and terminal events. Journal of Applied Statistics, 46, 522-541.

  [25]Zhao, X.B. (赵晓兵), Wang, W. W., Liu, L. and Shih, T. (2018). A flexible quantile regression model for medical costs, with application to medical expenditure panel survey study costs. Statistics in Medicine, 37, 2645-2666.

  [24]Wang, W. W., Wu, X. Y. , Zhao, X.B. (赵晓兵) and Zhou. X. (2018). Robust variable selection of joint frailty model for panel count data. Journal of Multivariate Analysis, 167，60-78.

  [23]Zheng, Y.Q., Zhao, X.B. (赵晓兵) and Zhang, X. Q. (2018). Understand dynamic status-change of hospital stay and cost accumulation by a differential equation- based combination of continuous and finitely-jumped processes. Computational and Mathematical Methods in Medicine.

  [22]Zhao, X.B. (赵晓兵) and Zhou, X. (2017). Multi-type insurance claim processes with high-dimensional covariates. Communications in Statistics-Simulation and Computation, 46，500-514.

  [21]Zhao, X.B. (赵晓兵)  and Zhou. X. (2015). Semiparametric models of longitudinal and time-to-event data with applications to HIV viral dynamics and CD4 counts. Journal of Applied Statistics, 42, 2461-2477.

  [20]Zhao, X.B. (赵晓兵)  and Zhou. X.(2015). Estimation of copula based models for lifetime medical costs. Annals of the Institute of Statistical Mathematics, 67, 897-915.

  [19]Zhao, X.B. (赵晓兵), Wang, J. L., Zhou, X. and Zhu, Z. Y.. (2015). Recurrent events analysis in the presence of terminal event and zero-recurrence subjects. Communications in Statistics -Theory and Methods, 44, 710-725.

  [18]Zhao, X.B. (赵晓兵) and Zhou, X. (2014). Copula-based dependency between frequency and class in car insurance with excess-zeros. Operations Research Letters, 42, 273-277.

  [17]Zhao, X.B. (赵晓兵) and Zhou, X. (2014). Sufficient dimension reduction on the mean and rate functions of recurrent events. Statistics in Medicine, 33, 3693-3709

  [16]Zhao, X.B. (赵晓兵) and Zhou, X. (2014). Sufficient dimension reduction on marginal regression for gaps of recurrent events. Journal of Multivariate Analysis，127，56-71.

  [15]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Estimation of medical costs by copula models with dynamic change of health status. Insurance: Mathematics and Economics, 51, 480-491.

  [14]Zhao, X.B. (赵晓兵), Zhou, X. and Wang, J. L. (2012). Semiparmetric model for recurrent events data with cure fraction and informative censoring. Journal of Statistical Planning and Inference, 141, 289-300.

  [13]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Modeling gap times between recurrent events by marginal rate function. Computational Statistics and Data Analysis, 56, 370-383.

  [12]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Estimation of copula-based insurance claim numbers with excess zeros. Insurance: Mathematics and Economics, 50,191-199.

  [11]Zhao, X.B. (赵晓兵) and Zhou, X. (2012). Measurement error in proportional hazards models for survival data with long-term survivors.  Acta Mathematicae Applicatae Sinica, English Series, 28(2)，275-288.

  [10]Zhao, X.B. (赵晓兵) and Zhou, X. (2010). Empirical receiver operating characteristic curve for two-sample comparison with cure fractions, Lifetime Data Analysis, 16，316-332.

  [9]Zhao, X.B. (赵晓兵) and Zhou, X. (2010). Semiparametric estimation in transformation models with cure fraction, Communications in Statistics-Theory and Methods, 39，3371-3388.

  [8]Zhao, X.B. (赵晓兵) and Zhou, X. (2010). Applying copula models to individual claim loss reserving methods. Insurance: Mathematics and Economics, 46, 290-299.

  [7]Wen, L.M., Wu, X.Y. and Zhao, X.B. (赵晓兵). (2009). The credibility premiums under generalized weighted loss functions. Journal of Industrial and Management Optimization, 5(4), 893-910.

  [6]Zhao, X.B. (赵晓兵), Wang, J. L. and Zhou, X. (2009). Semiparametric model for prediction of individual claim loss reserving. Insurance: Mathematics and Economics, 45, 1-8.

  [5]Zhao, X.B. (赵晓兵) and Zhou, X. (2009). Semiparametric modeling of cost data containing zeros. Statistics and Probability Letters, 79,1207-1214.

  [4]Zhao, X.B. (赵晓兵), Wu X.Y. and Zhou, X. (2009). A Change-point model for survival data with long-term survivors. Statistica Sinica, 377-390

  [3]Zhao, X.B. (赵晓兵) and Zhou, X. (2008). Discrete-time survival analysis for survival data with long-term survivors. Statistics in Medicine,  27, 1261-1281.

  [2]Zhao, X.B. (赵晓兵) and Zhou, X and  Wu, X.Y. (2007). Local linear regression in proportional hazards model with censored data. Communications in Statistics -Theory and Methods, 36, 2761-2776.

  [1]Zhao, X.B. (赵晓兵) and Zhou, X. (2006). Proportional hazards models for survival data with long-term survivors. Statistics and Probability Letters, 76, 1685-1893.