739 citations · 1.8k across the 34 of their papers we have counts for
Showing 2008 · stat.MEShow all
3 papers · 2 filters
stat.ME2008★ 329 cited
Estimating high-dimensional intervention effects from observational data
Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann
We assume that we have observational data generated from an unknown underlying directed acyclic graph (DAG) model. A DAG is typically not identifiable from observational data, but…
stat.ME2008★ 16 cited
Rejoinder: Boosting Algorithms: Regularization, Prediction and Model Fitting
Peter Bühlmann, Torsten Hothorn
Rejoinder to ``Boosting Algorithms: Regularization, Prediction and Model Fitting'' [arXiv:0804.2752]
stat.ME2008★ 739 cited
Boosting Algorithms: Regularization, Prediction and Model Fitting
Peter Bühlmann, Torsten Hothorn
We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and a…