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Nicolai Meinshausen
Nicolai Meinshausen
Professor of Statistics, ETH Zurich
Bestätigte E-Mail-Adresse bei stat.math.ethz.ch
Titel
Zitiert von
Zitiert von
Jahr
High-dimensional graphs and variable selection with the lasso
N Meinshausen, P Bühlmann
The Annals of Statistics 34 (3), 1436-1462, 2006
46802006
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
37942009
Stability selection
N Meinshausen, P Bühlmann
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010
30842010
Quantile regression forests
N Meinshausen
The Journal of Machine Learning Research 7, 983-999, 2006
23112006
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
20602009
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
1151*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
11432016
Lasso-type recovery of sparse representations for high-dimensional data
N Meinshausen, B Yu
The Annals of Statistics 37 (1), 246-270, 2009
10752009
Relaxed lasso
N Meinshausen
Computational Statistics & Data Analysis 52 (1), 374-393, 2007
9852007
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
7252019
P-values for high-dimensional regression
N Meinshausen, L Meier, P Bühlmann
Journal of the American Statistical Association 104 (488), 1671-1681, 2009
4782009
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
4582017
High-dimensional inference: confidence intervals, p-values and R-software hdi
R Dezeure, P Bühlmann, L Meier, N Meinshausen
Statistical science, 533-558, 2015
3342015
Invariant causal prediction for nonlinear models
C Heinze-Deml, J Peters, N Meinshausen
Journal of Causal Inference 6 (2), 20170016, 2018
3132018
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
2852020
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
2632006
Causal structure learning
C Heinze-Deml, MH Maathuis, N Meinshausen
Annual Review of Statistics and Its Application 5 (1), 371-391, 2018
2582018
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
255*2021
JM, Vollmer, MK, and Wang, RHJ: The shared socioeconomic pathway (SSP) greenhouse gas concentrations and their extensions to 2500, Geosci. Model Dev., 13, 3571–3605
M Meinshausen, ZRJ Nicholls, J Lewis, MJ Gidden, E Vogel, M Freund, ...
2172020
Hierarchical testing of variable importance
N Meinshausen
Biometrika 95 (2), 265-278, 2008
2122008
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