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pro vyhledávání: '"Palomba, Filippo"'
Deferring systems extend supervised Machine Learning (ML) models with the possibility to defer predictions to human experts. However, evaluating the impact of a deferring strategy on system accuracy is still an overlooked area. This paper fills this
Externí odkaz:
http://arxiv.org/abs/2405.18902
We propose principled prediction intervals to quantify the uncertainty of a large class of synthetic control predictions (or estimators) in settings with staggered treatment adoption, offering precise non-asymptotic coverage probability guarantees. F
Externí odkaz:
http://arxiv.org/abs/2210.05026
The synthetic control method offers a way to quantify the effect of an intervention using weighted averages of untreated units to approximate the counterfactual outcome that the treated unit(s) would have experienced in the absence of the interventio
Externí odkaz:
http://arxiv.org/abs/2202.05984
Publikováno v:
In Labour Economics August 2023 83
Akademický článek
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