高维数据中的条件非线性相关研究，国家自然科学基金青年项目

2012 - 2017 上海财经大学统计与管理学院, 博士, 导师: 朱利平教授

2008 - 2012 东南大学仪器科学与工程学院, 学士

10. Cai, Z., Li, R. and Zhang, Y. (2021+): A Distribution Free Conditional Independence Test with Applications to Causal Discovery. Journal of Machine Learning Research. Conditionally accepted.

9. Fan, J., Zhang, Y. and Zhu, L. (2021+): Independence tests in the presence of measurement errors: an invariance law. Journal of Multivariate Analysis. To appear.

8. Wang, Z., Yang, C., Yuan, H. and Zhang, Y. (2021+): Aggregation bias in estimating log-log demand function. Production and Operations Management. To appear.

7. Zhou, Y., Zhang, Y. and Zhu, L. (2021+): A projective approach to conditional independence test for dependent processes. Journal of Business & Economic Statistics. To appear.

6. Li, Z. and Zhang, Y. (2020): On a projective ensemble approach to two sample test for equality of distributions. ICML.

5. Zhang, Y., Zhong, W. and Zhu, L. (2020): A lack-of-fit test with screening in sufficient dimension reduction. Statistica Sinica. 30, 1971-1993.

4. Zhu, L., Zhang, Y. and Xu, K. (2018): Measuring and testing for interval quantile dependence. Annals of Statistics. 46, 2683–2710.

3. Zhang, Y., Zhu, L. and Ma, Y. (2017): Efficient dimension reduction for multivariate response data. Journal of Multivariate Analysis. 155, 187-199.

2. Zhang, Y. and Zhu, L. (2017): Semiparametric estimation of multivariate partially linear models. Journal of Statistical Computation and Simulation. 87, 2115-2127.

1. 牛志勇，张耀武 (2018)：企业数据质量与经济发展水平的关系：基于Benford法则的实证研究. 数理统计与管理. 37(1), 13-24