OPTIMIZATION SEMINAR

Tuesday, November 28, 2:35--3:20pm

Padelford Hall Room C-036


Variable Selection via the Bridge Regression

Qiuying Lin,

Graduate Student, UW, Mathematics

In this talk we describe bridge regression as a method of variable selection in linear regression models. In linear regression one tries to describe the data, or observations, as a linear function of regression parameters, or covariates. Bridge regression is one of many approaches for reducing the number of covariates required to explain the data.


Mathematics Department University of Washington