37457 Advanced Bayesian Methods8cp; 3 to 4 hours per week
Requisite(s): 36103 Statistical Thinking for Data Science
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Anti-requisite(s): 37458 Advanced Bayesian Methods
This subject covers advanced Bayesian methods for statistical data analyses and inference. Principles of the underlying methodology, based on graph theory, is also covered. Models include generalised linear models, linear mixed models and generalised additive models. The 'R', 'JAGS' and 'Stan' computing environments are used for analysis of a wide array of data sets.
Detailed subject description.