STAT 120
Introduction to Bayesian Inference and Applications
Provides students a comprehensive understanding to the questions as of what is, how and why Bayesian. Introduction to classic Bayesian models, basic computational algorithms/methods for Bayesian inference, as well as their applications in various domain fields, and comparisons with classic Frequentist methods. As Bayesian inference finds its roots and merits particularly in application, this course puts great emphasis on enhancing students' hands-on skills in statistical computation…
Sources
- Course catalogue ↗Public 2026-2027 offerings