Peter Buhlmann

most citedDiscussion: One-step sparse estimates in nonconcave penalized likelihood models

59 citations · 74 across the 3 of their papers we have counts for

collaborators

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.AP2008★ 2 cited

Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data

Nicolai Meinshausen, Peter Bühlmann

We congratulate Lee, Nadler and Wasserman (henceforth LNW) on a very interesting paper on new methodology and supporting theory [arXiv:0707.0481]. Treelets seem to tackle two impor…

math.ST2007★ 13 cited

Smoothing $ℓ_{1}$ -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 $ℓ_{1}$ -pena…

Discussion: One-step sparse estimates in nonconcave penalized likelihood models

Discussion of: Treelets--An adaptive multi-scale basis for sparse unordered data

Smoothing ℓ1​-penalized estimators for high-dimensional time-course data

Smoothing $ℓ_{1}$ -penalized estimators for high-dimensional time-course data