Courses Detail Information
STAT4510J – 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.