Risk-Limiting Bayesian Polling Audits for Two Candidate Elections
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We propose a simple common framework for Risk-Limiting and Bayesian (polling) audits for two-candidate plurality elections. Using it, we derive an expression for the general Bayesian audit; in particular, we do not restrict the prior to a beta distribution. We observe that the decision rule for the Bayesian audit is a simple comparison test, which enables the use of pre-computation---without simulations---and greatly increases the computational efficiency of the audit. Our main contribution is a general form for an audit that is both Bayesian and risk-limiting: the Bayesian Risk-Limiting Audit, which enables the use of a Bayesian approach to explore more efficient Risk-Limiting Audits.
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