Bayesian A/B Testing is a statistical method that uses Bayesian inference to evaluate the performance of two or more variations of a product or service to determine which one is more effective. This approach incorporates prior knowledge or beliefs about the performance of these variations and updates this belief as new data is collected, allowing for a more flexible and informed decision-making process.
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