Category: Experimentation and Hypothesis Testing

• Interrupted Time Series

  

  When experimenting with something new, everyone has an opinion! Thats why it’s especially important to gather empirical evidence, to truly measure success. In this series of articles, I will explore a variety of techniques for experimentation, measurement and the gathering of evidence. Today’s article concerns one such fundamental technique – Interrupted Time Series analysis. The…

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  December 28, 2023

  Experimentation and Hypothesis Testing, Time Series

  experimentation, Hypothesis testing, Time Series

• A/B and C (Multivariate) Tests with PyMC

  

  The blog post provides a guide to using PyMC for Bayesian A/B/C tests, using a Bernoulli likelihood and the panel regression style. The post explores generating data samples, adopting a Bernoulli model approach, using Bambi to simplify the model setup, and interpreting results.

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  October 21, 2023

  Experimentation and Hypothesis Testing