Bayesian and Frequentist Sample Size Estimation
This post reviews two approaches to sample size estimation in A/B/n testing: one Frequentist, and one Bayesian. Say we’re trying to test which variant of an ...
Recent Posts
Topic Extraction (Old and New)
How do you find thematic clusters in a large corpus of text documents? There are the standared algorithms baked into sklearn: k-means, nonnegative matrix fac...
Random Walks on Polls
A while ago, the Economist published an explanation of their model of the 2016 US presidential election. This post implements a simplified form of that model.
Converting Dataframes to Pytrees
Numpyro models expect data in the form of a pytrees: nested lists or dictionaries of multidimensional arrays. But datasets usually don’t start that way: we u...
Synthetic Controls in Texas
Replicating a syntheic control study with a Bayesian workflow
GP Matching in Observational Studies
Accounting for confounders using Gaussian Processes
Advent Of Code
I’ve been playing Advent of Code this year. I started writing solutions in R, but soon realized I was better served by a more general purpose language. Julia...
Basu’s Bayesian Bears
Bayesian calibrated survey sampling