Posts in tutorial

NBA Foul Analysis with Item Response Theory

This tutorial shows an application of Bayesian Item Response Theory [Fox, 2010] to NBA basketball foul calls data using PyMC. Based on Austin Rochford’s blogpost NBA Foul Calls and Bayesian Item Response Theory.

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Introduction to Bayesian A/B Testing

This notebook demonstrates how to implement a Bayesian analysis of an A/B test. We implement the models discussed in VWO’s Bayesian A/B Testing Whitepaper [Stucchio, 2015], and discuss the effect of different prior choices for these models. This notebook does not discuss other related topics like how to choose a prior, early stopping, and power analysis.

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