Topics
Understand the core difference between p-values and Chance to Beat Control.Learn why Bayesians & Frequentists converge with uninformed priors.Grasp why the chance of a winner being false is quite high.See through the limitations of both approaches.Audience
This talk is for you if:
You have been considering choosing Bayesian statistics for your A/B tests.You constantly feel a lot of your winners turn out to be false.You want to include prior knowledge in statistical inference, but are unsure how.You are just confused about the difference between the two schools of statistics.After this talk, you will be clear where the difference between Bayesians and Frequentists matters and where it does not.
Hi! I am a statistician, a teacher and the founder of Thinking Bell.
I am known for simplifying experimentation with analogies, doodles, and games that make decisions sharper and science practical.
I have led data science research at VWO and recently taught 60 leaders at The Economist. I have authored the VWO Stats Blog and have delivered 15+ talks for experimenters.
Join me to master experimentation with clarity, depth, and fun.
Stat-Talk #6
Decrypting the Bayesian vs Frequentist Debate
Understand the Fundamental Difference
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