Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

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A Comprehensive Guide to Bayesian Inference for A/B Testing: Improve Decision-Making with Statistical Rigor

The Bayesian Revolution in A/B Testing: A New Era for Events and Entertainment In the high-stakes world of events and entertainment, where split-second decisions can make or break a campaign, traditional A/B testing methodologies are often found wanting. The frequentist approach, with its reliance on p-values and fixed sample sizes, struggles to provide the nuanced,