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An extension of the causal tree framework in the presence of irregular assignment mechanisms
2018-01-01 Gnecco, G; Bargagli Stoffi, Falco Joannes
Estimating heterogeneous causal effects in the presence of irregular assignment mechanisms
2019-01-01 Bargagli Stoffi, F. J.; Gnecco, G.
Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms
2020-01-01 Bargagli Stoffi, F; Gnecco, G
Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning?
2020-01-01 Bargagli-Stoffi, Falco; Cevolani, Gustavo; Gnecco, Giorgio
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach
2022-01-01 Bargagli Stoffi, F; De Witte, K; Gnecco, G
Machine learning for zombie hunting: predicting distress from firms’ accounts and missing values
2023-01-01 Bargagli Stoffi, Falco Joannes; Incerti, Fabio; Riccaboni, Massimo; Rungi, Armando
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An extension of the causal tree framework in the presence of irregular assignment mechanisms | 1-gen-2018 | Gnecco, G; Bargagli Stoffi, Falco Joannes | |
| Estimating heterogeneous causal effects in the presence of irregular assignment mechanisms | 1-gen-2019 | Bargagli Stoffi, F. J.; Gnecco, G. | |
| Causal tree with instrumental variable: an extension of the causal tree framework to irregular assignment mechanisms | 1-gen-2020 | Bargagli Stoffi, F; Gnecco, G | |
| Should Simplicity Be Always Preferred to Complexity in Supervised Machine Learning? | 1-gen-2020 | Bargagli-Stoffi, Falco; Cevolani, Gustavo; Gnecco, Giorgio | |
| Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach | 1-gen-2022 | Bargagli Stoffi, F; De Witte, K; Gnecco, G | |
| Machine learning for zombie hunting: predicting distress from firms’ accounts and missing values | 1-gen-2023 | Bargagli Stoffi, Falco Joannes; Incerti, Fabio; Riccaboni, Massimo; Rungi, Armando |
Mostrati risultati da 1 a 6 di 6
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