739 citations · 1.8k across the 34 of their papers we have counts for
3 papers · 2 filters
Goodness of fit tests for high-dimensional linear models
Rajen D. Shah, Peter Bühlmann
In this work we propose a framework for constructing goodness of fit tests in both low and high-dimensional linear models. We advocate applying regression methods to the scaled res…
Confidence Intervals for Maximin Effects in Inhomogeneous Large-Scale Data
Dominik Rothenhäusler, Nicolai Meinshausen, Peter Bühlmann
One challenge of large-scale data analysis is that the assumption of an identical distribution for all samples is often not realistic. An optimal linear regression might, for examp…
Causal inference using invariant prediction: identification and confidence intervals
Jonas Peters, Peter Bühlmann, Nicolai Meinshausen
What is the difference of a prediction that is made with a causal model and a non-causal model? Suppose we intervene on the predictor variables or change the whole environment. The…