Bayesian inference for rare errors in populations with unequal unit sizes

David J. Laws and Anthony O'Hagan

Journal of the Royal Statistical Society Series C, 2000, vol. 49, issue 4, 577-590

Abstract: We describe a Bayesian model for a scenario in which the population of errors contains many 0s and there is a known covariate. This kind of structure typically occurs in auditing, and we use auditing as the driving application of the method. Our model is based on a categorization of the error population together with a Bayesian nonparametric method of modelling errors within some of the categories. Inference is through simulation. We conclude with an example based on a data set provided by the UK's National Audit Office.

Date: 2000
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https://doi.org/10.1111/1467-9876.00213

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