•1 min read•from Towards Data Science
Why You Think Like a Bayesian but Were Taught Like a Frequentist
Our take
Most data professionals intuitively reason using Bayesian principles – updating beliefs based on new evidence – yet traditional statistics education often emphasizes Frequentist methods. This post explores that disconnect, tracing its roots from 19th-century mathematical developments to modern data challenges. We’ll unpack how everyday decisions, like estimating the value of a priceless chocolate bar, mirror Bayesian inference, and demonstrate its practical application in building sophisticated marketing mix models using PyMC. Discover why your thinking is already Bayesian.
From a chocolate bar with no price tag to a marketing mix model in PyMC, and the 200-year-old integral that stood in between.
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