A causal framework for distribution generalization R Christiansen, N Pfister, ME Jakobsen, N Gnecco, J Peters IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6614 ¡K, 2021 | 85 | 2021 |
Causal discovery in heavy-tailed models N Gnecco, N Meinshausen, J Peters, S Engelke The Annals of Statistics 49 (3), 1755-1778, 2021 | 73 | 2021 |
Extremal random forests N Gnecco, EM Terefe, S Engelke Journal of the American Statistical Association 119 (548), 3059-3072, 2024 | 33 | 2024 |
Gastric cancer with positive peritoneal cytology: survival benefit after induction chemotherapy and conversion to negative peritoneal cytology M Valletti, D Eshmuminov, N Gnecco, CA Gutschow, PM Schneider, ... World Journal of Surgical Oncology 19, 1-8, 2021 | 32 | 2021 |
graphicalExtremes: Statistical methodology for graphical extreme value models S Engelke, AS Hitz, N Gnecco, M Hentschel R package version 0.1. 0, 2019 | 21* | 2019 |
Boosted control functions N Gnecco, J Peters, S Engelke, N Pfister arXiv preprint arXiv:2310.05805, 2023 | 2 | 2023 |
Extremes of structural causal models S Engelke, N Gnecco, F Röttger arXiv preprint arXiv:2503.06536, 2025 | | 2025 |
Achievable distributional robustness when the robust risk is only partially identified J Kostin, N Gnecco, F Yang Advances in Neural Information Processing Systems 37, 83915-83950, 2024 | | 2024 |
Causal Inference for Extremes N Gnecco University of Geneva, 2022 | | 2022 |
Package 'NILE' R Christiansen, N Pfister, ME Jakobsen, N Gnecco, J Peters https://runesen.github.io/NILE/, 2020 | | 2020 |
Package 'causalXtreme' N Gnecco, N Meinshausen, J Peters, S Engelke https://nicolagnecco.github.io/causalXtreme/, 2019 | | 2019 |
Causality in Heavy-Tailed Data N Gnecco ETH Zurich, 2018 | | 2018 |