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Nicola Gnecco
Nicola Gnecco
Postdoctoral Researcher in Statistics and Machine Learning, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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 …, 2021
662021
Causal discovery in heavy-tailed models
N Gnecco, N Meinshausen, J Peters, S Engelke
The Annals of Statistics 49 (3), 1755-1778, 2021
482021
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
212021
Extremal random forests
N Gnecco, EM Terefe, S Engelke
Journal of the American Statistical Association, 1-14, 2024
172024
graphicalExtremes: statistical methodology for graphical extreme value models. R package version 0.1. 0
S Engelke, AS Hitz, N Gnecco
172019
Boosted control functions
N Gnecco, J Peters, S Engelke, N Pfister
arXiv preprint arXiv:2310.05805, 2023
22023
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
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Articles 1–10