56 citations · 85 across the 2 of their papers we have counts for
2 papers
stat.ME2014★ 29 cited
Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error
Øystein Sørensen, Arnoldo Frigessi, Magne Thoresen
In many problems involving generalized linear models, the covariates are subject to measurement error. When the number of covariates p exceeds the sample size n, regularized method…
stat.ME2012★ 56 cited
Measurement Error in Lasso: Impact and Correction
Øystein Sørensen, Arnoldo Frigessi, Magne Thoresen
Regression with the lasso penalty is a popular tool for performing dimension reduction when the number of covariates is large. In many applications of the lasso, like in genomics,…