BIOS 640
Intro to Bayesian Statistics · 3 credits · Spring 2027
Requirements
Prerequisite: BIOS 621 and EPID 621
About this course
The course introduces the fundamentals of Bayesian inference. It covers simple Bayesian models and complicated models, including linear regression and hierarchical models. Bayesian computational methods, especially Markov Chain Monte Carlo methods will be discussed. Emphasis will also be placed on model checking and evaluation for public health research applications.
No sections have been posted for this course in this term yet.