Bayesian Inference (in STAN) Introduction workshop

Northwestern Univerity

In this tutorial, we will walk through the basics of STAN- an open-source software for Bayesian inference. We will build a simple linear regression model in STAN and discuss the advantages of using a Bayesian framework over traditional frequentist approches.

We will be using STAN with Python as PYSTAN. STAN allows interfacing with R, MATLAB, Julia, Stata, and more.

To learn more about Bayesian Data Science, check out my article here

Samvardhan Vishnoi- Data Science Research Consultant@Northwestern University