Piloting a Bayesian estimation approach to A/B testing

A Talk by Mitchel Fruin
Senior Data Scientist, DWP Digital

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About this talk

In the past year, the Universal Credit Data Science team at DWP piloted the use of a Bayesian estimation approach to analyse their A/B tests. This talk will explore the limitations of traditional Frequentist null hypothesis significance testing that motivated them to try a new approach, the benefits and difficulties of the Bayesian estimation approach they adopted, and an example use case.

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