Courses Detail Information

VE414 – Bayesian Analysis


Instructor: Jing Liu

Instructors (Faculty):

Credits: 4 credits

Pre-requisites: Ve 401

Description:

This course is about Bayesian statistical modelling and inference, and the related computational strategies and algorithms. Programming languages Julia, R and Stan are introduced.

Course Topics:

Principles of Bayesian statistics, linear model, hierarchical model, generalized linear models, Bayesian network, MCMC, Gibbs and Metropolis-Hasting algorithms.

Course Profile