6.4k citations · 14.8k across the 73 of their papers we have counts for
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math.ST2013
Hierarchical Testing in the High-Dimensional Setting with Correlated Variables
Jacopo Mandozzi, Peter Bühlmann
We propose a method for testing whether hierarchically ordered groups of potentially correlated variables are significant for explaining a response in a high-dimensional linear mod…
math.ST2013★ 70 cited
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs
Alain Hauser, Peter Bühlmann
In many applications we have both observational and (randomized) interventional data. We propose a Gaussian likelihood framework for joint modeling of such different data-types, ba…
math.ST2013★ 832 cited
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer, Peter Bühlmann, Ya'acov Ritov +1
We propose a general method for constructing confidence intervals and statistical tests for single or low-dimensional components of a large parameter vector in a high-dimensional m…