Peter Bühlmann

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Nicolai MeinshausenProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Sara van de GeerProfessor Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Markus KalischETH ZürichVerified email at stat.math.ethz.ch
Torsten HothornVerified email at R-project.org
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu
Lukas MeierETH ZürichVerified email at stat.math.ethz.ch
Marloes MaathuisETH ZurichVerified email at stat.math.ethz.ch
Wilhelm GruissemETH ZurichVerified email at ethz.ch
Jonas PetersProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Lars HennigProfessor in Genetics, Swedish Agricultural University, UppsalaVerified email at slu.se
Marcel DettlingZurich University of Applied SciencesVerified email at zhaw.ch
Philip ZimmermannCEO, Nebion AGVerified email at nebion.com
Stefan BleulerNebion AGVerified email at bleuler.com
Eckart ZitzlerHead of Research, Lucerne University of Applied Sciences and ArtsVerified email at eckartzitzler.com
Lothar ThieleProfessor of Computer Engineering, ETH ZurichVerified email at ethz.ch
Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyVerified email at berkeley.edu
Thomas KneibChair of Statistics, Georg-August-University GöttingenVerified email at uni-goettingen.de
Martin MächlerAdjunct Professor, ETH ZurichVerified email at stat.math.ethz.ch
Niklas PfisterAssistant Professor, University of CopenhagenVerified email at math.ku.dk
Ya'acov RitovUniversity of MichiganVerified email at umich.edu

Peter Bühlmann

Professor of Statistics and Mathematics, ETH Zurich

Verified email at stat.math.ethz.ch

Statistics Machine Learning Causal Inference Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
High-dimensional graphs and variable selection with the lasso N Meinshausen, P Bühlmann	4221	2006
MissForest—non-parametric missing value imputation for mixed-type data DJ Stekhoven, P Bühlmann Bioinformatics 28 (1), 112-118, 2012	3307	2012
Statistics for high-dimensional data P Bühlmann, S Van De Geer Springerverlag Berlin Heidelberg, 2011	3244*	2011
Stability selection N Meinshausen, P Bühlmann Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010	2692	2010
The group lasso for logistic regression L Meier, S Van De Geer, P Bühlmann Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008	1912	2008
One-step sparse estimates in nonconcave penalized likelihood models H Zou, R Li	1376	2008
On asymptotically optimal confidence regions and tests for high-dimensional models S Van de Geer, P Bühlmann, Y Ritov, R Dezeure	1176	2014
Boosting algorithms: Regularization, prediction and model fitting P Bühlmann, T Hothorn	1173	2007
A systematic comparison and evaluation of biclustering methods for gene expression data A Prelić, S Bleuler, P Zimmermann, A Wille, P Bühlmann, W Gruissem, ... Bioinformatics 22 (9), 1122-1129, 2006	1168	2006
Boosting with the L 2 loss: regression and classification P Bühlmann, B Yu Journal of the American Statistical Association 98 (462), 324-339, 2003	1105	2003
Analyzing bagging P Bühlmann, B Yu Annals of Statistics, 927-961, 2002	1021	2002
Analyzing gene expression data in terms of gene sets: methodological issues JJ Goeman, P Bühlmann Bioinformatics 23 (8), 980-987, 2007	935	2007
Estimating high-dimensional directed acyclic graphs with the PC-algorithm. M Kalisch, P Bühlman Journal of Machine Learning Research 8 (3), 2007	917	2007
Survival ensembles T Hothorn, P Bühlmann, S Dudoit, A Molinaro, MJ Van Der Laan Biostatistics 7 (3), 355-373, 2006	841	2006
On the conditions used to prove oracle results for the lasso SA Van De Geer, P Bühlmann	792	2009
Causal inference by using invariant prediction: identification and confidence intervals J Peters, P Bühlmann, N Meinshausen Journal of the Royal Statistical Society. Series B (Statistical Methodology …, 2016	714	2016
Causal inference using graphical models with the R package pcalg M Kalisch, M Mächler, D Colombo, MH Maathuis, P Bühlmann Journal of statistical software 47, 1-26, 2012	654	2012
Variable length Markov chains P Bühlmann, AJ Wyner The Annals of Statistics 27 (2), 480-513, 1999	547	1999
Boosting for high-dimensional linear models P Buehlmann	520	2006
Boosting for tumor classification with gene expression data M Dettling, P Bühlmann Bioinformatics 19 (9), 1061-1069, 2003	519	2003

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