Peter Bühlmann

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Sara van de GeerProfessor Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Nicolai MeinshausenProfessor of Statistics, 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
Wilhelm GruissemETH ZurichVerified email at ethz.ch
Marloes MaathuisETH ZurichVerified email at stat.math.ethz.ch
Jonas PetersProfessor of Statistics, University of CopenhagenVerified email at math.ku.dk
Lars HennigProfessor in Genetics, Swedish Agricultural University, UppsalaVerified email at slu.se
Daniel StekhovenNEXUS, ETH Zurich, SwitzerlandVerified email at nexus.ethz.ch
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
Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyVerified email at berkeley.edu
Lothar ThieleProfessor of Computer Engineering, ETH ZurichVerified email at ethz.ch
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

Peter Bühlmann

Professor of Statistics and Mathematics, ETH Zurich

Verified email at stat.math.ethz.ch

Statistics Machine Learning Causal Inference Computational Biology


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High-dimensional graphs and variable selection with the lasso N Meinshausen, P Bühlmann The annals of statistics 34 (3), 1436-1462, 2006	3896	2006
Statistics for high-dimensional data P Bühlmann, S Van De Geer Springerverlag Berlin Heidelberg, 2011	2915*	2011
Stability selection N Meinshausen, P Bühlmann Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010	2462	2010
MissForest—non-parametric missing value imputation for mixed-type data DJ Stekhoven, P Bühlmann Bioinformatics 28 (1), 112-118, 2012	2401	2012
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	1750	2008
One-step sparse estimates in nonconcave penalized likelihood models H Zou, R Li Annals of statistics 36 (4), 1509, 2008	1246	2008
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	1126	2006
Boosting algorithms: Regularization, prediction and model fitting P Bühlmann, T Hothorn Statistical science 22 (4), 477-505, 2007	1076	2007
Boosting with the L 2 loss: regression and classification P Bühlmann, B Yu Journal of the American Statistical Association 98 (462), 324-339, 2003	1053	2003
On asymptotically optimal confidence regions and tests for high-dimensional models S Van de Geer, P Bühlmann, Y Ritov, R Dezeure The Annals of Statistics 42 (3), 1166-1202, 2014	1024	2014
Analyzing bagging P Bühlmann, B Yu Annals of Statistics, 927-961, 2002	934	2002
Analyzing gene expression data in terms of gene sets: methodological issues JJ Goeman, P Bühlmann Bioinformatics 23 (8), 980-987, 2007	899	2007
Estimating high-dimensional directed acyclic graphs with the PC-algorithm. M Kalisch, P Bühlman Journal of Machine Learning Research 8 (3), 2007	807	2007
Survival ensembles T Hothorn, P Bühlmann, S Dudoit, A Molinaro, MJ Van Der Laan Biostatistics 7 (3), 355-373, 2006	742	2006
On the conditions used to prove oracle results for the Lasso SA Van De Geer, P Bühlmann Electronic Journal of Statistics 3, 1360-1392, 2009	734	2009
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	560	2012
Sieve bootstrap for time series P Bühlmann Bernoulli, 123-148, 1997	525	1997
Variable length Markov chains P Bühlmann, AJ Wyner The Annals of Statistics 27 (2), 480-513, 1999	518	1999
Boosting for tumor classification with gene expression data M Dettling, P Bühlmann Bioinformatics 19 (9), 1061-1069, 2003	506	2003
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	496	2016

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