Bayesian A/B Testing is a statistical method that uses Bayesian inference to compare two or more variations of a product or service to determine which one performs better. This approach allows for the incorporation of prior knowledge and the updating of beliefs based on new data, providing a more flexible and intuitive framework than traditional frequentist methods.
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