The Expectation-Maximization (EM) algorithm is a broadly applicable approach to the iterative computation of maximum likelihood (ML) estimates, useful in a variety of incomplete-data problems. Maximum likelihood estimation and likelihood-based inference are of central importance in statistical...

Partial observability is a prominent feature of accounting fraud. Not only the act of committing fraud is not directly observable, but the detected frauds are often revealed to the public with substantial time delays. In this article, we specify an underlying fraud data generating process that...