YAO Fang
Chair Professor
Office :1360S


Ph.D,  University of California at Davis,  2003 

M.S.,  University of California at Davis,  2002 

B.S.,  University of Science and Technology of China,  2000 

Research Interests

Functional data analysis, high-dimensional and complex structured data analysis, applications in longitudinal studies, brain imaging, genetics, finance and economics.  (MathSciNet)

Selected Publications

1. Xue, K., and Yao, F. (2019). Distribution and correlation free two-sample test of high-dimensional means. Annals of Statistics, accepted, https://arxiv.org/abs/1904.07416.

2. Lin, Z., and Yao, F. (2018). Intrinsic Riemannian functional data analysis. Annals of Statistics, accepted, https://arxiv.org/abs/1812.01831.

3. Lin, Z., Müller, H. G., and Yao, F. (2018). Mixture inner product spaces and their application to functional data analysis, Annals of Statistics, 45, 370-400.

4. Koudstaal, M., and Yao, F. (2018). From multiple Gaussian sequences to functional data and beyond: A Stein estimation approach. Journal of the Royal Statistical Society, Series B, 80, 319-342.

5. Dai, X., Müller, H. G., and Yao, F. (2017). Optimal Bayes classifiers for functional data and density ratios. Biometrika, 104, 545-560.