Yan Li

PhD Candidate

University of Connecticut

Biography

I’m pursuing my PhD degree in Statistics at Departmemt of Statistics, University of Connecticut after graduating from School of Statistics, Renmin University of China in 2016. My interests lie in Climate Change Detection and Attribution Analysis, Measurement Error Models, Mixture Models, Dimension Reduction and Variable Selection.

This website includes information on my current research projects, publications and some thinkings/notes on research and programming.

Interests

  • Climate Change Detection and Attribution
  • Measurement Error Models
  • High-Dimensional Statistics

Education

  • PhD in Statistics, 2021 (expected)

    University of Connecticut

  • BS in Statistics, 2016

    Renmin University of China

Experience

 
 
 
 
 

Research Assistant

University of Connecticut, Department of Statistics

Jan 2017 – Present Connecticut

  • Working on development of methods and statistical software for climate change detection attribution analysis via fingerprinting method
  • Worked on pursuit of heterogeneity on coefficients of finite mixture regression models
  • Worked on development of method for copula modeling with tied data
  • Worked on a dental project on survival analysis of restorations placed on special patients
 
 
 
 
 

Graduate Assistant and Webmaster

University of Connecticut, Department of Statistics

Sep 2016 – Sep 2019 Connecticut

Recent Posts

Several Things for Writing Statistical Paper

When writing a scientific paper, maintaining good habits will make your paper easy to follow for both collaborators and yourself.

Publications

  • Refereed publications
    Caplan, D. J., Li, Y., Wang, W., Kang, S., Marchini, L., Cowen, H. J., and Yan, J. (2018).   Dental Restoration Longevity among Geriatric and Special Needs Patients.  JDR Clinical & Translational Research
    Li, Y., Li, Y., Qin, Y., Yan, J. (2019+) Copula Modeling for Data with Ties.  Statistics and Its Interface
  • Papers in Progress
    Li, Y., Yu, C., Zhao, Y., Yao, W., Aseltine, R., Chen, K.   Pursuing Sources of Heterogeneity in Mixture Regression.
    Li, Y., Chen, K., Yan, J., Zhang, X.   Under-Coverage of Confidence Intervals in Optimal Fingerprinting --- Impact and Calibration
    Li, Y., Chen, K., Yan, J., Zhang, X.   Weight Matrix Construction in Fingerprinting to Improve Detection of Global Temperature Signals in Historical Climate.

Contact