PyMC3 Tutorials

A collection of Juypter notebooks that serve as my notes on tutorials and examples for PyMC3.

Notebooks

Tutorials

PyMC3 Tutorials

1. Getting Starting with PyMC3
2. Sample Callback
3. Profiling
4. Batch ADVI and sampling
5. Variational API Quickstart
6. Model building and expansion for golf putting

Documentation

PyMC3 Examples

1. A Hierarchical model for rugby prediction
2. GLM: Negative Binomial Regression
3. Hierarchical partial pooling of baseball batting averages
4. Bayesian Survival Analysis (in progress)
5. LKJ Cholesky Covariance Priors for Multivariate Normal Models
6. Why hierarchcial models are awesome, tricky, and Bayesian (planned) (original article) - covers non-centered paramaterization

Mine

1. Posterior predictions from a hierarchical model on a new group