Subject
5 entries
Bayesian Inference
Bookmarks
git_bayesect: Bayesian git bisect for flaky tests
Bayesian git bisect for flaky tests. Finally a way to handle probabilistic failures that standard bisect can't.
Bayesian Machine Learning on Apache Spark
Cloudera's engineering blog post on implementing Bayesian machine learning on Apache Spark — combining probabilistic inference with distributed computation. A technically ambitious combination that was ahead of most production ML stacks in 2014.
Stochastic Volatility Modeling with PyMC
PyMC example notebook demonstrating stochastic volatility modeling — Bayesian inference for time-varying financial volatility using NUTS sampling. A showcase of what probabilistic programming makes tractable.
Estimating User Lifetimes with PyMC
yhat's tutorial on estimating customer lifetimes with PyMC using Bayesian survival analysis — fitting probabilistic churn models to get full posterior distributions over lifetime value rather than point estimates. An early example of applied Bayesian modeling in Python before PyMC3 existed.
Bayes' Rule in Haskell, or Why Drug Tests Don't Work
Classic probabilistic reasoning example using drug tests to illustrate Bayes' rule: even a highly accurate test produces mostly false positives when the base rate of drug use is low. Implemented in Haskell to make conditional probability feel like simple if-statements.