University of Technology Sydney

37457 Advanced Bayesian Methods

8cp; 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

Description

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.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.