Motivated by the great blog post by Understanding CUPED by Matteo Courthoud, we explore a Bayesian approach to CUPED to understand its sensitivity with respect to the covariance parameter \(\theta\) of the pre-post mean model. I will assume that the reader is already familiar with CUPED and has read Matteo’s blog post (highly recommended!). Here we focus on the sensitivity component. We do not do this in full generality but rather focus on the specific example of Matteo’s blog post.
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Motivated by the great blog post by Understanding CUPED by Matteo Courthoud , we explore a Bayesian approach to CUPED to understand its sensitivity with respect to the covariance parameter \(\theta\) of the pre-post mean model. I will assume that the reader is already familiar with CUPED and has read Matteo’s blog post (highly recommended!). Here we focus on the sensitivity component. We do not do…
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