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Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach

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Correction Crossref 1 open · 1 total · 0 disputed

DOI: 10.1111/1475-679x.12292
Notice DOI: 10.1111/1475-679x.12454
Event date: 2022-08-04
Machine twin: JSON

01One-hop citing occurrences

Correction Open

Sequential compliance decisions of firms on cross-border data flows: An institutionally anchored decision support system

ref [5] · 2607.10620 · notice #7889 · dispute

Raw extraction · bibliography line

“Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach. ”Journal of Accounting Research58 (1): 199–235.https://doi.org/10.1111/1475-679X.12292. Bastani, Hamsa, Osbert Bastani, and Wichinpong Park Sinchaisri

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