Yimin Dai 戴一民 ☕️

Yimin Dai 戴一民

Ph.D. student

Texas A&M University

About

Yimin Dai is a Ph.D. student in the Department of Statistics at Texas A&M University, advised by Raymond Wong and Ning Ning. His research interests include causal inference, semiparametric and empirical process methods, and applications to real-world problems. Before joining TAMU, he spent four great years at Sun-Yat Sen University and was very fortunate to be advised by Prof. Ying Yan.

Interests

  • Causal inference
  • Semiparametric and empirical process methods
  • Applications to real-world problems

Education

  • Ph.D. in Statistics, 2027 (Expected)

    Texas A&M University

  • BSc in Statistics, 2022

    Sun Yat-sen University (SYSU)

Publications

(2024). Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning. International Journal of Digital Earth, 17(1), 2434651.

Cite DOI Published version PubMed

(2024). Mahalanobis balancing: A multivariate perspective on approximate covariate balancing. Scandinavian Journal of Statistics, 51(4), 1450-1471.

Cite DOI Published version