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Sergio E. Betancourt sergiosonline

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sergiosonline / stan_demo.py
Created January 20, 2020 16:10
Jupyter Notebook accompanying "Painless Introduction to Applied Bayesian Inference Using PyStan"
#!/usr/bin/env python
# coding: utf-8
# # Intro to PyStan
# Stan is a computation engine for Bayesian model fitting. It relies on HMC to sample from the posterior distribution of the desired model.
#
# Here are the detailed installation steps to set up Stan: https://pystan.readthedocs.io/en/latest/installation_beginner.html
#
# For MacOS: