A set of quick reference and exploration utilities for choosing appropriate probability distributions for bayesian and other modeling using scipy, numpy, and pymc
- reference.md: table of key info for common probability distributions
- playground.ipynb: notebook with some interactive tools, including fine tuning distribution parameters, fitting a distribution to existing data, and fitting a distribution to an intuition or qualitative understanding of your problem
- Distribution Explorer, which is a fantastic resource for more specific/indepth info