6.4k citations · 14.8k across the 73 of their papers we have counts for
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stat.ME2008★ 38 cited
P-values for high-dimensional regression
Nicolai Meinshausen, Lukas Meier, Peter Bühlmann
Assigning significance in high-dimensional regression is challenging. Most computationally efficient selection algorithms cannot guard against inclusion of noise variables. Asympto…
stat.ML2008★ 473 cited
High-dimensional additive modeling
Lukas Meier, Sara van de Geer, Peter Bühlmann
We propose a new sparsity-smoothness penalty for high-dimensional generalized additive models. The combination of sparsity and smoothness is crucial for mathematical theory as well…