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2020 – today
- 2024
[j3]Ethan McFarlin, Falco J. Bargagli Stoffi
, Edgar Castro, Joel Schwartz, Francesca Dominici, Heresh Amini:
Air quality disparities mapper: An open-source web application for environmental justice. Environ. Model. Softw. 172: 105881 (2024)- 2022
- [j2]Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco:
Simple Models in Complex Worlds: Occam's Razor and Statistical Learning Theory. Minds Mach. 32(1): 13-42 (2022) - [c3]Fabio Incerti, Falco Joannes Bargagli Stoffi, Massimo Riccaboni:
A Two-Country Study of Default Risk Prediction Using Bayesian Machine-Learning. LOD (2) 2022: 188-192 - [i4]Carolina Biliotti, Falco J. Bargagli Stoffi, Nicolo Fraccaroli, Michelangelo Puliga, Massimo Riccaboni:
Breaking Down the Lockdown: The Causal Effect of Stay-At-Home Mandates on Uncertainty and Sentiments during the COVID-19 Pandemic. CoRR abs/2212.01705 (2022) - 2020
- [j1]Falco J. Bargagli Stoffi, Giorgio Gnecco:
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms. Int. J. Data Sci. Anal. 9(3): 315-337 (2020) - [c2]Falco J. Bargagli Stoffi, Gustavo Cevolani, Giorgio Gnecco:
Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? LOD (1) 2020: 55-59 - [i3]Falco J. Bargagli Stoffi, Jan Niederreiter, Massimo Riccaboni:
Supervised learning for the prediction of firm dynamics. CoRR abs/2009.06413 (2020)
2010 – 2019
- 2019
- [i2]Falco J. Bargagli Stoffi, Kristof De Witte, Giorgio Gnecco:
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach. CoRR abs/1905.12707 (2019) - 2018
- [c1]Falco Joannes Bargagli Stoffi, Giorgio Gnecco:
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. DSAA 2018: 1-10 - [i1]Falco J. Bargagli Stoffi, Giorgio Gnecco:
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms. CoRR abs/1808.04281 (2018)
Coauthor Index
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