Linlin Fan

8 Duh Drive, Apt. 222, Bethlehem, PA 18015
(610) 703 7986
MS Statistics
Interests: 
Functional Data Analysis, Functional Regression

Functional regression targets at the case where a scalar response is to be regressed on an infinite-dimensional functional covariate. Modeling such high-dimensional and low sample size data cast great challenge for scientists. The serious deficiency of sample size compared to the inherently infinite dimensionality causes ill-conditioning problem, which further leads to the failure in the application of traditional methods for linear model, e.g. least square estimation. Functional Data Analysis provides a whole array of innovative methods for conducting statistical analysis on functional data. Functional regression is one of the FDA methods, evaluating the dynamic association between functional covariate and response. 

CV (public): 
© IMRC CAS 2016