Bayesian Statistics - 2018

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

Unit summary

STA80007

  • Level of Study: Postgraduate
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP
  • Availability for 2017: SP3
  • Availability for 2018: SP3
  • Assessment: Assignments - 2 (40%) , Invigilated Exam (50%) - Learn more

Unit provided by

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2018 Fees
AUD$
Domestic 2,830.00
Domestic continuing 2,620.00
International 3,080.00
International continuing 2,870.00

Tuition fees are reduced for continuing registered SWI students.
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The unit 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 unit.
 

Students who successfully complete this unit will be able to:

  1. Differentiate important distributions commonly used in Bayesian Statistic
  2. Defend the importance of concepts such as Prior Distributions and Posterior Distributions in Bayesian Statistical Modeling
  3. Describe the importance of Markov Chain Monte Carlo simulation in Bayesian Analysis
  4. Develop programming capabilities to perform Bayesian analysis
  5. Evaluate empirical applications of Bayesian analysis in an appropriate software environment
  6. Articulate the differences between Bayesian estimation and maximum likelihood estimation
  7. Argue the merits of Bayesian methodology.
  • Assignments — 2 (40%)
  • Invigilated Exam (50%)
  • Quizzes — Online (10%)
For more information on invigilated exams see Exams and results

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

In order to enrol in this unit, you must be accepted into one of the following courses:

Please visit the course details page and read the Requirements tab for more information about eligibility.

This unit addresses the following topics.

NumberTopic
1Bayes theorem and the concept of Bayesian statistics
2Distributions often used in Bayesian statistics
3Prior distributions, likelihood functions, and posterior distributions
4Bayesian estimation and model fitting using appropriate software
5Differences between Bayesian estimation and maximum likelihood estimation
6Choice of prior distribution
7Empirical Bayes estimation
8Bayesian hierarchical models
9Empirical applications of Bayesian analysis using appropriate software

This unit is delivered using the following methods and materials:

Instructional Methods

  • Discussion Forum/Discussion Board
  • Online Quizzes/Tests
  • Online assignment submission
  • Podcasting/Lecture capture
  • Standard Media
  • Web links

Print based materials

  • Welcome Letter

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.

Textbook information for this unit is currently being updated and will be available soon. Please check back regularly for updates. Alternatively, visit the The Co-op website and enter the unit details to search for available textbooks.

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