师资团体

师资团体 Faculty

张政

职称:助理教授

研究方向:因果推断,缺失数据,半参-非参模型,随机分析等

联系方式:givennamefamilyname@ruc.edu.cn

个人简历

2011年于东南大学数学系获学士学位,2015年于香港中文大学统计系获博士学位,2016年加入中国人民大学统计与大数据研究院担任助理教授.


主要学术成果:

Causal Inference:

1. Chan K. C. G., Yam S. C. P., and Zhang Z. (2015). Globally Efficient Nonparametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting. Journal of the Royal Statistical Society: Series B. 78(3), 673-700. [Link]

2. Ai C., Huang L. and Zhang Z. (2018). A Simple and Efficient Estimation of Average Treatment Effect in the Presence of Unmeasured Confounders. (Submitted). [Link]

3. Ai C., Huang L. and Zhang Z. (2019). Efficient Estimation of Counterfactual Distributions and Testing Distributional Treatment Effects. (Submitted). [Link]

4. Ai. C., Linton O., Motegi K. and Zhang Z. (2019). A Unified Framework for Efficient Estimation of General Treatment Models. (Submitted). [Link]


Missing Data:

1. Ai C., Linton O. and Zhang Z. (2018). A Simple and Efficient Estimation Method for Models with Nonignorable Missing Data. Statistica Sinica. [Link]

2. Hamori S., Motegi K. and Zhang Z. (2019). Calibration Estimation for Semiparametric Copula Models with Data Missing at Random. Journal of Multivariate Analysis. 173, 85-109. [Link]


Stochastic Analysis:

1. Bensoussan A., Yam S. C. P., and Zhang Z. (2015). Well-posedness of Mean-field Type Forward-backward Stochastic Differential Equations. Stochastic Processes and their Applications. 125(9), 3327-3354. [Link]

2. Wright J. A., Yam S. C. P., and Zhang Z. (2017). Enlargement of Filtration on Poisson Space: A Malliavin Calculus Approach. Stochastics. 90(5), 682-700. [Link]

3. Privault N., Yam S. C. P., and Zhang Z. (2018). Poisson Discretizations of Wiener Functionals and Malliavin Operators with Wasserstein Estimates. Stochastic Processes and their Applications. [Link]

4. Sheu S., Sun L. and Zhang Z. (2018). Portfolio Optimization with Delay Factor Models. (Submitted) [Link]