$3,110 $3,360
Your upfront cost: $0
Duration
13 weeks
Study method
100% online
Available loans
- FEE-HELP
Assessments
Subjects may require attendance
Prior study
Required
Study terms
- 26 Aug 2019
Swinburne University of Technology leads the way with innovative and new ways of teaching, learning and thinking. It offers a wide range of study options, from pre-apprenticeships, undergraduate, postgraduate and PhDs, including online degrees with Open Universities Australia. Swinburne is known for career-oriented education and encouraging lifelong learning.
University ranking
Subject details
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- Bayes theorem and the concept of Bayesian statistics
- Distributions often used in Bayesian statistics
- Prior distributions, likelihood functions, and posterior distributions
- Bayesian estimation and model fitting using appropriate software
- Differences between Bayesian estimation and maximum likelihood estimation
- Choice of prior distribution
- Empirical Bayes estimation
- Bayesian hierarchical models
- Empirical applications of Bayesian analysis using appropriate software
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Study resources
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Instructional methods
- Discussion forum/Discussion Board
- Online Quizzes/Tests
- Online assignment submission
- Podcasting/Lecture capture
- Standard Media
- Web links
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Print materials
- Welcome letter
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You must have successfully completed the following subject(s) before starting this subject:
SWI-STA60003-Basic Statistical Computing Using R , or SWI-HMS772
Special requirements
No special requirements
The subject introduces the fundamentals of Bayesian statistical modelling. Students will learn the importance of subjective beliefs in Bayesian statistics. Important concepts such as prior distributions, likelihood functions, and posterior distributions will be discussed at length. Numerical estimation techniques, such as Metropolis-Hastings and Gibbs sampling, will be introduced. Empirical applications of Bayesian analysis will be performed in an R software environment.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Assignments — 2 (40%)
- Invigilated Exam (50%)
- Quizzes — Online (10%)
Textbook information is pending.