Multi-Source A/B Testing Statistical Analysis Platform

Create a comprehensive Python-based A/B testing analysis platform that goes beyond standard significance testing. Implement advanced statistical techniques including Bayesian hypothesis testing, multi-armed bandit algorithms, and causal inference methods. Develop a flexible framework that handles complex experimental designs, accounts for multiple comparison problems, and provides interactive visualization of treatment effects with precise uncertainty estimation.