Bayesian Statistics for the Social Sciences
Spring quarter, 2021
Taught by professor William Brown, PhD
Bayesian statistics provides a formal framework for a well-principled and dynamic approach to uncertainty quantification, including best practices for updating our beliefs as new data become available. This course provides a broad theoretical and methodological overview of Bayesian statistics, with a focus on gaining theoretical, practical, and computational proficiency when applying Bayesian methods to diverse datasets of social-scientific interest.