Overview
Peter Bühlmann is a statistician at ETH Zürich, a leading figure in high-dimensional statistics, causal inference from observational data, graphical modeling, and boosting. He is known for stability selection, multi-sample-splitting inference, and foundational work on the theory and application of the Lasso.
Key Contributions / Features
- Lead author of Bühlmann-Kalisch-Meier (2014), a review of high-dimensional statistics and post-selection inference.
- Stability selection (Meinshausen-Bühlmann 2010) and multi-sample-splitting p-values; the monograph Statistics for High-Dimensional Data (Bühlmann-van de Geer 2011); work on boosting and on causal discovery (IDA).
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