| High-dimensional graphs and variable selection with the lasso N Meinshausen, P Bühlmann The Annals of Statistics 34 (3), 1436-1462, 2006 | 4673 | 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 | 3797 | 2009 |
| Stability selection N Meinshausen, P Bühlmann Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010 | 3082 | 2010 |
| Quantile regression forests N Meinshausen The Journal of Machine Learning Research 7, 983-999, 2006 | 2278 | 2006 |
| 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 | 2071 | 2009 |
| 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 | 1174* | 2020 |
| 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 | 1108 | 2016 |
| Lasso-type recovery of sparse representations for high-dimensional data N Meinshausen, B Yu The Annals of Statistics 37 (1), 246-270, 2009 | 1079 | 2009 |
| Relaxed lasso N Meinshausen Computational Statistics & Data Analysis 52 (1), 374-393, 2007 | 1003 | 2007 |
| 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 | 697 | 2019 |
| P-values for high-dimensional regression N Meinshausen, L Meier, P Bühlmann Journal of the American Statistical Association 104 (488), 1671-1681, 2009 | 477 | 2009 |
| 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 | 446 | 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 | 336 | 2015 |
| Invariant causal prediction for nonlinear models C Heinze-Deml, J Peters, N Meinshausen Journal of Causal Inference 6 (2), 20170016, 2018 | 303 | 2018 |
| 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 | 280 | 2020 |
| 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 | 261 | 2006 |
| Causal structure learning C Heinze-Deml, MH Maathuis, N Meinshausen Annual Review of Statistics and Its Application 5 (1), 371-391, 2018 | 251 | 2018 |
| Anchor regression: Heterogeneous data meet causality (vol 83, pg 215, 2021) D Rothenhausler, N Meinshausen, P Buhlmann, J Peters JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 83 …, 2021 | 248* | 2021 |
| Hierarchical testing of variable importance N Meinshausen Biometrika 95 (2), 265-278, 2008 | 211 | 2008 |
| MONTE CARLO METHODS FOR THE VALUATION OF MULTIPLE‐EXERCISE OPTIONS N Meinshausen, BM Hambly Mathematical Finance 14 (4), 557-583, 2004 | 199 | 2004 |
Peter BühlmannProfessor of Statistics and Mathematics, ETH Zurichstat.math.ethz.ch의 이메일 확인됨