196 citations · 268 across the 3 of their papers we have counts for
3 papers
math.ST2008★ 59 cited
Discussion: One-step sparse estimates in nonconcave penalized likelihood models
Peter Bühlmann, Lukas Meier
Discussion of ``One-step sparse estimates in nonconcave penalized likelihood models'' [arXiv:0808.1012]
stat.ME2008★ 196 cited
Least angle and penalized regression: A review
Tim Hesterberg, Nam Hee Choi, Lukas Meier +1
Least Angle Regression is a promising technique for variable selection applications, offering a nice alternative to stepwise regression. It provides an explanation for the similar…
math.ST2007★ 13 cited
Smoothing -penalized estimators for high-dimensional time-course data
Lukas Meier, Peter Bühlmann
When a series of (related) linear models has to be estimated it is often appropriate to combine the different data-sets to construct more efficient estimators. We use -pena…