6.4k citations · 14.8k across the 73 of their papers we have counts for
4 papers · 2 filters
High-Dimensional Inference: Confidence Intervals, -Values and R-Software hdi
Ruben Dezeure, Peter Bühlmann, Lukas Meier +1
We present a (selective) review of recent frequentist high-dimensional inference methods for constructing -values and confidence intervals in linear and generalized linear model…
Maximin effects in inhomogeneous large-scale data
Nicolai Meinshausen, Peter Bühlmann
Large-scale data are often characterized by some degree of inhomogeneity as data are either recorded in different time regimes or taken from multiple sources. We look at regression…
Discussion of Big Bayes Stories and BayesBag
Peter Bühlmann
I congratulate all the authors for their insightful papers with wide-ranging contributions. The articles demonstrate the power and elegance of the Bayesian inference paradigm. In p…
Marginal integration for nonparametric causal inference
Jan Ernest, Peter Bühlmann
We consider the problem of inferring the total causal effect of a single variable intervention on a (response) variable of interest. We propose a certain marginal integration regre…