个人信息：

周凡吟，教授、博导

西南财经大学统计学院，数据科学系

办公室：西南财经大学柳林校区宏远楼402B

电子邮箱：zfy@haoyii.com

简历：

先后在英国曼切斯特大学，剑桥大学和帝国理工大学取得了本科，硕士以及统计学博士学位。曾在美国花旗银行伦敦总部从事CDS程序化交易分析工作。2013年3月加入西南财经大学统计学院。

学术荣誉：

2014年入选四川省创新人才

主持项目：

• 2021.01-2025.12：国家自然科学基金项目重点国际（地区）合作研究项目《大数据背景下会计信息促进实体经济开展的关键路径与机制研究》，子课题负责人

• 2021.01-2021.12：中央高校基本科研业务费交叉与新兴学科项目《上市公司特别处理复发风险的研究分析》

• 2016.01-2018.12：国家自然科学基金青年科学基金项目《基于交替复发事件数据的事件历史分析及在信贷数据中的应用》

• 2014.01-2014.12：中央高校基本科研业务费专项资金青年教师成长项目《(向量)自回归模型的定阶与参数估计的LASSO方法及其在经济数据中的应用》

• 2013.09-2014.09：西南财经大学引进人才科研启动资助项目《Cox模型中的有限制的变量选择方法及其在信贷数据中的应用》

• 2013.05-2014.12：成都市科技厅项目《天府新区地下管网科学化布局》

代表性论文：

• Li, K., Zhou, F., Li, Z., Li, W. & Shen, F. (2021). A semi-parametric ensemble model for profit evaluation and investment decisions in online consumer loans with prepayments, Applied Soft Computing, Vol. 107, pp. 1-12.

• Li, K., Zhou, F., Li, Z., Yao, X. & Zhang, Y. (2021). Predicting loss given default using post-default information, Knowledge-Based Systems, Vol. 224, pp. 1-14.

• Li, Z., Hu, X., Li, K., Zhou, F. & Shen, F. (2020). Inferring the outcomes of rejected loans: An application of semisupervised clustering, Journal of the Royal Statistical Society: Series A, Vol. 183, pp. 631-654.

• Ma, Y., Zhou, F. & Luo, X. (2020). Partial derivative estimation for underlying functional-valued process in a unified framework, Journal of Applied Mathematics, Vol. 2020, pp. 1-17.
  

• Ma, Y., Lan, W., Zhou, F. & Wang, H. (2020). Approximate least squares estimation for spatial autoregressive models with covariates, Computational Statistics & Data Analysis, Vol.143, pp. 1-15.
  

• Lv, S., Jiang, J., Zhou, F., Huang, J. & Lin, H. (2018). Estimating high-dimensional additive Cox model with time-dependent covariate processes, Scandinavian Journal of Statistics, Vol. 45, pp. 900-922.
  

• Lin, H., Zhou, F., Wang, Q., Zhou, L. & Qin, J. (2018). Robust and efficient estimation for the treatment effect in causal inference and missing data problems, Journal of Econometrics, Vol. 205, pp. 363-380.

• Li, Z., Tian, Y., Li, K., Zhou, F. & Yang, W. (2017). Reject inference in credit scoring using Semi-supervised support vector machines, Expert Systems with Applications, Vol.74, pp.105-114.

• Lv, S. & Zhou, F. (2015). Optimal learning rates of Lp-type multiple kernel learning under general conditions, Information Science, Vol. 294, pp. 255-268.

• Hand, D.J. & Zhou, F. (2010). Evaluating models for classifying customers in retail banking collections, Journal of the Operational Research Society, Vol. 61, pp. 1540-1547.

• Gandy, A., Kvaloy, J. T., Bottle, A. & Zhou, F. (2010). Risk-adjusted monitoring of time to event, Biometrika, Vol. 97, pp. 375-388.

• Rogers, L. C. G. & Zhou, F. (2008). Estimating correlation from high, low, opening and closing prices, Annals of Applied Probability, Vol. 18, pp. 813-823.