7 citations · 10 across the 2 of their papers we have counts for
3 papers
stat.ME2009★ 7 cited
On the Peaking Phenomenon of the Lasso in Model Selection
Nicole Kraemer
I briefly report on some unexpected results that I obtained when optimizing the model parameters of the Lasso. In simulations with varying observations-to-variables ratio n=p, I ty…
math.ST2006★ 3 cited
Boosting for Functional Data
Nicole Kraemer
We deal with the task of supervised learning if the data is of functional type. The crucial point is the choice of the appropriate fitting method (learner). Boosting is a stepwise…
math.ST2005
On the shrinkage behavior of partial least squares regression
Nicole Kraemer
We present a formula for the shrinkage factors of the Partial Least Squares regression estimator and deduce some of their properties, in particular the known fact that some of the…