A Complete Guide to A/B Testing Using Bayesian Inference with Streamlit & PyMC
Date: 05-08-2025 A/B testing is one of the most commonly used methods for making product and marketing decisions. Traditionally, A/B testing relies on frequentist statistics, where we rely on p-values and predefined significance thresholds. However, the frequentist approach has limitations, especially when it comes to interpreting results in a real-world, data-driven context. This is where […]
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