Wei (Becky) Lin

Visiting Researcher
cnlinwei@gmail.com
Wei (Becky) Lin is a visiting researcher at UCLA Department of Statistics. She got her B.Eng. in computer science in China and received her PhD in statistics in Canada under the supervision of Nancy Reid and D.A.S. Fraser. She worked for one year as an assistant professor in teaching stream at University of Toronto  before she joins Jessica's team.  She has broad research interests in likelihood inference, survey design and survey data analysis. Her current work is with Xin Tong and Jessica Li on developing and integrating innovative statistical methods and theory for analyzing single cell RNA sequencing data.
 
Publications

D.A.S. Fraser, M. Bedard, A. Wong, W. Lin, and A.M. Fraser (2016). Bayes, reproducibility, and the quest for truth. Statistical Science 31(4):578-590. 

D.A.S. Fraser, W. Lin, and A.L. Wang (2013). Signed likelihood root with a simple skewness correction: regular models, second order. Journal of Statistical Research 47(1):1-10. 

D.A.S. Fraser, U. Hoang, K. Ji., X. Li, L. Li, W. Lin, and J. Su (2012). Vector exponential models and second order analysis. Pakistan Journal of Statistics and Operation Research 8:433-440. 

D.A.S. Fraser, A. Naderi, K. Ji, W. Lin, and J. Su (2011). Exponential models: approximations for probabilities. Journal of The Iranian Statistical Society 10(2):95-107.