School Of Computer, Data And Mathematical SciencesProbabilistic Models and InferenceWestern Sydney University Unit Code: 301250.1
Discipline: STATISTICS
Student Contribution Band: 1
Level: 3
Credit Points: 10
Assumed Knowledge
Probability, Linear Algebra, Basic Programming
Prerequisite
301107 Analytics Programming AND 301108 Thinking About Data OR 300700 Statistical Decision Making
About this Unit
The unit provides students with an understanding of probabilistic models and inference. It covers model-based approaches for complex systems – from constructing these models to applying information to models. The models, which can be created manually and obtained by learning from data, will also be useful to make decisions under uncertainty. A variety of models and techniques will be discussed; examples include Monte Carlo Methods, Decision Theory, Bayesian networks, Markov networks, and the use of information theory.
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Specialisations