Kamu erişimi zorunlu olan makaleler - Nicolai MeinshausenDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 2
National post-2020 greenhouse gas targets and diversity-aware leadership
M Meinshausen, L Jeffery, J Guetschow, Y Robiou du Pont, J Rogelj, ...
Nature Climate Change 5 (12), 1098-1106, 2015
Zorunlu olanlar: Australian Research Council
Computationally and Efficient Inference for Complex Large-scale Data
G Blanchard, N Meinshausen, R Samworth, M Yuan
Oberwolfach Reports 13 (1), 741-796, 2016
Zorunlu olanlar: US National Science Foundation
Bir yerde sunuluyor: 25
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
Zorunlu olanlar: European Commission
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
Zorunlu olanlar: US Department of Energy, US National Oceanic and Atmospheric Administration …
Lasso-type recovery of sparse representations for high-dimensional data
N Meinshausen, B Yu
The Annals of Statistics 37 (1), 246-270, 2009
Zorunlu olanlar: German Research Foundation
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
Zorunlu olanlar: Gordon and Betty Moore Foundation, Australian Research Council, Government …
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
Zorunlu olanlar: US National Oceanic and Atmospheric Administration, Australian Research …
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
Zorunlu olanlar: US Department of Energy, US National Oceanic and Atmospheric Administration
Methods for causal inference from gene perturbation experiments and validation
N Meinshausen, A Hauser, JM Mooij, J Peters, P Versteeg, P Bühlmann
Proceedings of the National Academy of Sciences 113 (27), 7361-7368, 2016
Zorunlu olanlar: Netherlands Organisation for Scientific Research
A polymorphic p53 response element in KIT ligand influences cancer risk and has undergone natural selection
J Zeron-Medina, X Wang, E Repapi, MR Campbell, D Su, F Castro-Giner, ...
Cell 155 (2), 410-422, 2013
Zorunlu olanlar: US National Institutes of Health, National Health and Medical Research …
Uncovering the forced climate response from a single ensemble member using statistical learning
S Sippel, N Meinshausen, A Merrifield, F Lehner, AG Pendergrass, ...
Journal of Climate 32 (17), 5677-5699, 2019
Zorunlu olanlar: US National Science Foundation, US Department of Energy
Causal discovery in heavy-tailed models
N Gnecco, N Meinshausen, J Peters, S Engelke
The Annals of Statistics 49 (3), 1755-1778, 2021
Zorunlu olanlar: Swiss National Science Foundation, Villum Foundation, Carlsberg Foundation DK
Symmetric rank covariances: a generalized framework for nonparametric measures of dependence
L Weihs, M Drton, N Meinshausen
Biometrika 105 (3), 547-562, 2018
Zorunlu olanlar: US National Science Foundation
A multi-marker association method for genome-wide association studies without the need for population structure correction
JR Klasen, E Barbez, L Meier, N Meinshausen, P Bühlmann, M Koornneef, ...
Nature communications 7 (1), 13299, 2016
Zorunlu olanlar: Wellcome Trust
Spectral deconfounding via perturbed sparse linear models
D Cevid, P Bühlmann, N Meinshausen
Journal of Machine Learning Research 21, 1-41, 2020
Zorunlu olanlar: European Commission
The xyz algorithm for fast interaction search in high-dimensional data
GA Thanei, N Meinshausen, RD Shah
Journal of Machine Learning Research 19 (37), 1-42, 2018
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
Scalable sensitivity and uncertainty analyses for causal-effect estimates of continuous-valued interventions
A Jesson, A Douglas, P Manshausen, M Solal, N Meinshausen, P Stier, ...
Advances in Neural Information Processing Systems 35, 13892-13907, 2022
Zorunlu olanlar: European Commission
Robust detection of forced warming in the presence of potentially large climate variability
S Sippel, N Meinshausen, E Székely, E Fischer, AG Pendergrass, ...
Science Advances 7 (43), eabh4429, 2021
Zorunlu olanlar: US Department of Energy, Swiss National Science Foundation
Right singular vector projection graphs: fast high dimensional covariance matrix estimation under latent confounding
RD Shah, B Frot, GA Thanei, N Meinshausen
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
Zorunlu olanlar: UK Engineering and Physical Sciences Research Council
ricu: R’s interface to intensive care data
N Bennett, D Plečko, IF Ukor, N Meinshausen, P Bühlmann
GigaScience 12, giad041, 2023
Zorunlu olanlar: US National Institutes of Health, European Commission
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