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Falco J. Bargagli-Stoffi
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Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
FJ Bargagli-Stoffi, R Cadei, K Lee, F Dominici
arXiv preprint arXiv:2009.09036, 2024
722024
Simple Models in Complex Worlds: Occam’s Razor and Statistical Learning Theory
FJ Bargagli Stoffi, G Cevolani, G Gnecco
Minds and Machines 32 (1), 13-42, 2022
612022
Heterogeneous Treatment and Spillover Effects under Clustered Network Interference
FJ Bargagli Stoffi, C Tortú, L Forastiere
Annals of Applied Statistics, 2023
452023
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach
FJ Bargagli-Stoffi, K De-Witte, G Gnecco
Annals of Applied Statistics 16 (3), 1986-2009, 2022
38*2022
Supervised learning for the prediction of firm dynamics
FJ Bargagli-Stoffi, J Niederreiter, M Riccaboni
Data Science for Economics and Finance: Methodologies and Applications, 19-41, 2021
362021
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms
FJ Bargagli Stoffi, G Gnecco
International Journal of Data Science and Analytics 9 (3), 315-337, 2020
362020
From controlled to undisciplined data: estimating causal effects in the era of data science using a potential outcome framework
F Dominici, FJ Bargagli-Stoffi, F Mealli
Harvard Data Science Review, 2022
252022
Exposure to unconventional oil and gas development and all-cause mortality in Medicare beneficiaries
L Li, F Dominici, AJ Blomberg, FJ Bargagli-Stoffi, JD Schwartz, BA Coull, ...
Nature Energy 7 (2), 177-185, 2022
242022
Machine Learning for Zombie Hunting: Predicting Distress from Firms' Accounts and Missing Values
FJ Bargagli Stoffi, M Riccaboni, A Rungi
Industrial and Corporate Change, 2023
20*2023
Estimating heterogeneous causal effects in the presence of irregular assignment mechanisms
FJ Bargagli Stoffi, G Gnecco
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
202018
Predicting choice behaviour in economic games using gaze data encoded as scanpath images
SA Byrne, APF Reynolds, C Biliotti, FJ Bargagli-Stoffi, L Polonio, ...
Scientific Reports 13 (1), 4722, 2023
132023
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology
D Zorzetto, FJ Bargagli-Stoffi, A Canale, F Dominici
Biometrics 80 (2), ujae025, 2024
102024
Assessing sensitivity of machine learning predictions. a novel toolbox with an application to financial literacy
FJ Bargagli-Stoffi, K De Beckker, JE Maldonado, K De Witte
arXiv preprint arXiv:2102.04382, 2021
9*2021
Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?
FJ Bargagli-Stoffi, G Cevolani, G Gnecco
International Conference on Machine Learning, Optimization, and Data Science …, 2020
52020
Air quality disparities mapper: An open-source web application for environmental justice
E McFarlin*, FJ Bargagli-Stoffi*, E Castro, J Schwartz, F Dominici, H Amini
Environmental Modelling & Software, 105881, 2024
42024
Environmental justice implications of power plant emissions control policies: Heterogeneous causal effect estimation under bipartite network interference
KL Chen, FJB Stoffi, RC Kim, RC Nethery
arXiv preprint arXiv:2304.12500, 2023
32023
Environmental Burden of United States Data Centers in the Artificial Intelligence Era
G Guidi, F Dominici, J Gilmour, K Butler, E Bell, S Delaney, ...
arXiv preprint arXiv:2411.09786, 2024
22024
The Environmental Burden of the United States’ Bitcoin Mining Boom
G Guidi, F Dominici, N Steinsultz, G Dance, L Henneman, H Richardson, ...
22024
What is essential is visible to the eye: Saliency in primary school ranking and its effect on academic achievements
FX Ladant, J Hedou, P Sestito, FJ Bargagli-Stoffi
arXiv preprint arXiv:2302.10026, 2023
2*2023
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
D Zorzetto, A Canale, F Mealli, F Dominici, FJ Bargagli-Stoffi
arXiv preprint arXiv:2405.17669, 2024
12024
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Artículos 1–20