Outline

This  workshop introduces Bayesian inference. The goal is to provide an introduction to Bayesian statistics for social science students and practitioners that starts from the absolute beginning and walks participants steadily through the material. 

At the end of the workshop participants will understand the  core tenets of Bayesian theory and practice in a way that enables them  to specify, implement, and understand models using practical social science data. Each module will cover theoretical principles and  real-world applications that provide motivation and intuition.

Because Bayesian methods are intricately tied to software solutions code in both  R and Python will be provided throughout.

Audience & Prerequisites:

No previous knowledge is required other than that in a basic, typically undergraduate, statistics course.