Yi Liu
School of Mathematical Sciences, Ocean University of China,
238 Songling Road, Qingdao, China, 266100
Email: liuyi@ouc.edu.cn
Education and Working Experience
2007.09-2011.06, B.S. School of Mathematics, Shandong University
2011.09-2016.07, Ph.D. Academy of Mathematics and Systems Science,Chinese Academy of Sciences
2016.07-2019.06, Lecturer College of Science, China University of Petroleum (East China)
2017.07-2018.06, Postdoctoral Fellow School of Public Health, University of California, Los Angeles, CA, USA
2019.06-present, Lecturer School of Mathematical Sciences, Ocean University of China
Teaching
Advanced Mathematics, Probability and Statistics
Research Interests
High Dimensional Data Analysis, Survival Analysis, Hypothesis Testing
Publications
(1) Yi Liu, Xiaolin Chen, Gang Li*. A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates. Statistical Methods in Medical Research. DOI: 10.1177/0962280219864710.
(2) Xiaolin Chen, Yahui Zhang, Xiaojing Chen, Yi Liu* (2019). A simple model-free survival conditional feature screening. Statistics and Probability Letters. 146. 156-160.
(3) Yi Liu, Qihua Wang* (2018). Model free feature screening for ultrahigh-dimensional data conditional on some variables. Annals of the Institute of Statistical Mathematics. 70, 283-301.
(4) Yi Liu, Xiaolin Chen* (2018). Quantile screening for ultra-high dimensional heterogeneous data conditional on some variables. Journal of Statistical Computation and Simulation. 88, 329-342.
(5) Yi Liu*, Qihua Wang, Xiaohui Liu (2018). Testing conditional independence via integrating-up transform. Statistics. 52(4),734-749.
(6) Yi Liu, Xiaohui Liu* (2018). Testing conditional independence with data missing at random. Applied Mathematics-A Journal of Chinese Universities Series B. 33(3), 298-312.
(7) Yi Liu*, Qihua Wang (2015). Copula-graphic estimators for the marginal survival function with censoring indicators missing at random. Statistics and Probability Letters, 107, 101-110.
Grants
Natural Science Foundation of China
Fundamental Research Funds for the Central Universities