Andrew Ying

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PhD candidate,
Department of Mathematics,
Univeristy of California, San Diego (UCSD)
Thesis advisor: Ery Arias-Castro and Ronghui (Lily) Xu

About me

I received my B.S. in mathematics from Zhejiang University back in China in 2015. One of my thesis advisors is Ery Arias-Castro with whom we focused on tests based on scan statistics. Also, I am following Professor Ronghui (Lily) Xu to work on causal inference under survival analysis and competing risks setting.


My research interests include

  • Hypothesis testing

  • Survival analysis

  • Empirical process theory

  • High-dimensional statistics

  • Machine learning

  • Deep learning

Recent Publications

  1. E. Arias-Castro and A. Ying. Detection of sparse mixtures: Higher criticism and scan statistic. arXiv preprint arXiv:1802.08715, 2018. [arxiv]

  1. A.Ying, R. Xu and J. Murphy. Two-Stage Residual Inclusion under the Additive Hazards Model - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data. arXiv preprint arXiv:1805.07849, 2018. [arxiv]