Bayesian Statistics and Modeling

Catalog description

MAT 225 will give a comprehensive introduction to Bayesian statistics. The three pillars of Bayesian statistics are Bayesian data analysis, multilevel models, and model comparison using information criteria. This course will discuss and demonstrate these topics with common sense and R. The focus is on using computation to realize the concepts, and applying Bayesian approach to your own research projects. Credit Badge: Applied Statistics Badge, Data Science.