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Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Babii, Andrii, Chen, Xi, Ghysels, Eric, Kumar, Rohit
Natura:	Preprint
Pubblicazione:	2020
Soggetti:	Econometrics Statistics Theory Applications Methodology Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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