Seminars

Methods for Finding Informative Correlated Predictors in High Dimensional Linear Regression Models

Speaker: 
Niharika Gauraha

Abstract: We discuss an important research problem concerning selection  of covariates that are both highly informative and correlated with each other. Most of the variable selection methods exclude the highly correlated covariates from the regression equations, which can lead investigators to overlook significant features. Especially in high dimensional settings, independence assumptions among predictors are unlikely to be fulfilled in general.

Time of Seminar: 
2017-10-10 13:00
University: 

TBA

Speaker: 
Sara de Luna
Time of Seminar: 
2017-05-04 13:15
University: 

TBA

Speaker: 
Peter Gustafsson
Time of Seminar: 
2017-04-20 13:15
University: