Tag: Bayesian

Pvalue is the probability that the treatment effect is larger than zero (under certain conditions)
a.k.a. why you should (not ?) use uninformative priors in Bayesian A/B testing.

Estimating longterm detection, win, and error rates in A/B testing
How to estimate the probability of detecting (a positive) treatment over a series of experiments? I use an (admittedly weird) fusion of frequentist concepts and Bayesian tooling to get to an answer.

Estimating home court advantage in Lithuanian Basketball League with Gaussian Processes
I was looking for an excuse to play around with Gaussian Processes in a Bayesian Inference setting, and decided to revisit an older project about basketball in Lithuania. Just in time for this year’s finals!

Modeling tenure effects the Bayesian way
After learning new things in Statistical Rethinking class, I took on to play around with an ageperiodcohortlike model for disentangling tenure effects from seasonality & other factors. The Bayesian way.

Getting to decisions faster in A/B tests – part 1: literature review
I set out on a journey to learn what statistical approaches the industry uses to get to faster decisions in A/B testing. This is the first post in the series in which I set the scene and summarize outcomes of my “literature review”.