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 lightly discuss the advantages of using a Bayesian framework. We will be using STAN with Python, but 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