Introduction to Bayesian Inference and Applications
STAT 120
Subject & Catalog Number
Course Information
Description
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 (mostly with R) and data analysis.
Recommended Prep
STAT110, STAT111 and basics of R programming are required.
Available for Harvard Cross Registration
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
