Nicolai Meinshausen

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Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Malte MeinshausenProf, University of MelbourneVerified email at unimelb.edu.au
Reto KnuttiProfessor for Climate Physics, ETH ZurichVerified email at env.ethz.ch
Jonas PetersProfessor of Statistics, ETH ZurichVerified email at stat.math.ethz.ch
Christina Heinze-DemlApple AI/ML ResearchVerified email at apple.com
Elisabeth VogelWater Research Centre, UNSWVerified email at unsw.edu.au
Dave FrameUniversity of CanterburyVerified email at canterbury.ac.nz
Sebastian SippelETH ZurichVerified email at env.ethz.ch
Katja FrielerPotsdam Institute for Climate Impact ResearchVerified email at pik-potsdam.de
Erich FischerETH ZurichVerified email at env.ethz.ch
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu
Dominik RothenhäuslerStanford UniversityVerified email at stanford.edu
Lukas MeierETH ZürichVerified email at stat.math.ethz.ch
Rajen D. ShahUniversity of CambridgeVerified email at cam.ac.uk
Brian McWilliamsResearch Scientist, GoogleVerified email at google.com
Angeline G PendergrassCornell University and National Center for Atmospheric ResearchVerified email at ucar.edu
Marloes MaathuisETH ZurichVerified email at stat.math.ethz.ch
Flavio LehnerCornell University and National Center for Atmospheric ResearchVerified email at cornell.edu
Ben HamblyProfessor of Mathematics, University of OxfordVerified email at maths.ox.ac.uk
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Verified email at uva.nl

Nicolai Meinshausen

Professor of Statistics, ETH Zurich

Verified email at stat.math.ethz.ch

Causality Machine Learning High-Dimensional Data Computational Statistics


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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	4201	2006
Greenhouse-gas emission targets for limiting global warming to 2 C M Meinshausen, N Meinshausen, W Hare, SCB Raper, K Frieler, R Knutti, ... Nature 458 (7242), 1158-1162, 2009	3363	2009
Stability selection N Meinshausen, P Bühlmann Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010	2703	2010
Warming caused by cumulative carbon emissions towards the trillionth tonne MR Allen, DJ Frame, C Huntingford, CD Jones, JA Lowe, M Meinshausen, ... Nature 458 (7242), 1163-1166, 2009	1790	2009
Quantile regression forests N Meinshausen The Journal of Machine Learning Research 7, 983-999, 2006	1707	2006
Lasso-type recovery of sparse representations for high-dimensional data N Meinshausen, B Yu The Annals of Statistics 37 (1), 246-270, 2009	985	2009
Relaxed lasso N Meinshausen Computational Statistics & Data Analysis 52 (1), 374-393, 2007	785	2007
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	715	2016
The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500 M Meinshausen, ZRJ Nicholls, J Lewis, MJ Gidden, E Vogel, M Freund, ... Geoscientific Model Development 13 (8), 3571-3605, 2020	451*	2020
P-values for high-dimensional regression N Meinshausen, L Meier, P Bühlmann Journal of the American Statistical Association 104 (488), 1671-1681, 2009	418	2009
The effects of climate extremes on global agricultural yields E Vogel, MG Donat, LV Alexander, M Meinshausen, DK Ray, D Karoly, ... Environmental Research Letters 14 (5), 054010, 2019	376	2019
Historical greenhouse gas concentrations for climate modelling (CMIP6) M Meinshausen, E Vogel, A Nauels, K Lorbacher, N Meinshausen, ... Geoscientific Model Development 10 (5), 2057-2116, 2017	297	2017
High-dimensional inference: confidence intervals, p-values and R-software hdi R Dezeure, P Bühlmann, L Meier, N Meinshausen Statistical science, 533-558, 2015	275	2015
Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses N Meinshausen, J Rice The Annals of Statistics 34 (1), 373-393, 2006	242	2006
MONTE CARLO METHODS FOR THE VALUATION OF MULTIPLE‐EXERCISE OPTIONS N Meinshausen, BM Hambly Mathematical Finance 14 (4), 557-583, 2004	203	2004
Invariant causal prediction for nonlinear models C Heinze-Deml, J Peters, N Meinshausen Journal of Causal Inference 6 (2), 2018	190	2018
Hierarchical testing of variable importance N Meinshausen Biometrika 95 (2), 265-278, 2008	190	2008
Climate change now detectable from any single day of weather at global scale S Sippel, N Meinshausen, EM Fischer, E Székely, R Knutti Nature climate change 10 (1), 35-41, 2020	177	2020
Causal structure learning C Heinze-Deml, MH Maathuis, N Meinshausen Annual Review of Statistics and Its Application 5, 371-391, 2018	159	2018
Broad range of 2050 warming from an observationally constrained large climate model ensemble DJ Rowlands, DJ Frame, D Ackerley, T Aina, BBB Booth, C Christensen, ... Nature Geoscience 5 (4), 256-260, 2012	154	2012

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