Experimentation, Bayesian Statistics, Engineering, Data Science, Ab Testing.
and did not convert) as follows: µ ∼ θ / 𝜆 µ is a probability distribution that represents our belief about the mean revenue per user. As the experiment progresses, we update the parameters of the distributions of θ and 𝜆, and subsequently, µ for each variant, to obtain its posterior distribution.