6.4k citations · 14.8k across the 73 of their papers we have counts for
6 papers · 1 filter
GLMMLasso: An Algorithm for High-Dimensional Generalized Linear Mixed Models Using L1-Penalization
Jürg Schelldorfer, Lukas Meier, Peter Bühlmann
We propose an L1-penalized algorithm for fitting high-dimensional generalized linear mixed models. Generalized linear mixed models (GLMMs) can be viewed as an extension of generali…
Stable Graphical Model Estimation with Random Forests for Discrete, Continuous, and Mixed Variables
Bernd Fellinghauer, Peter Bühlmann, Martin Ryffel +2
A conditional independence graph is a concise representation of pairwise conditional independence among many variables. Graphical Random Forests (GRaFo) are a novel method for esti…
Asymptotic optimality of the Westfall--Young permutation procedure for multiple testing under dependence
Nicolai Meinshausen, Marloes H. Maathuis, Peter Bühlmann
Test statistics are often strongly dependent in large-scale multiple testing applications. Most corrections for multiplicity are unduly conservative for correlated test statistics,…
MissForest - nonparametric missing value imputation for mixed-type data
Daniel J. Stekhoven, Peter Bühlmann
Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often dep…
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser, Peter Bühlmann
The investigation of directed acyclic graphs (DAGs) encoding the same Markov property, that is the same conditional independence relations of multivariate observational distributio…
Remembrance of Leo Breiman
Peter Bühlmann
In 1994, I came to Berkeley and was fortunate to stay there three years, first as a postdoctoral researcher and then as Neyman Visiting Assistant Professor. For me, this period was…