Bayesian A/B Testing is a statistical method that utilizes Bayesian inference to compare two or more variants of a product or service to determine which one performs better. This approach incorporates prior beliefs and data to update the probability of each variant's effectiveness as new data is observed. Unlike traditional A/B testing, Bayesian methods provide a more flexible framework that allows for continuous learning and decision-making.
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