Trevor Stewart
About
Trevor Stewart has authored 8 papers that have received a total of 283 indexed citations.
This includes 4 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in Accounting. The topics of these papers are Auditing, Earnings Management, Governance (3 papers), Imbalanced Data Classification Techniques (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Trevor Stewart is often cited by papers focused on Auditing, Earnings Management, Governance (3 papers), Imbalanced Data Classification Techniques (2 papers) and Bayesian Modeling and Causal Inference (2 papers) and collaborates with scholars based in United States, The Netherlands and Mexico. Trevor Stewart's co-authors include L.W.G. Strijbosch, William R. Kinney, Kam‐Wah Tsui, Kevin Moffitt and Ella Mae Matsumura and has published in prestigious journals such as Journal of the American Statistical Association, The Accounting Review and Accounting Horizons
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