Studying online

There are now 3 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Units available in Online Restricted mode have been adapted for online study only for those students who require the unit to complete their studies and who are unable to attend campus due to COVID border closures. To be enrolled in a unit in Online Restricted mode, students should contact their Student Advising Office through askUWA and include which of the below criteria applies:

  • You are a student who is currently offshore and unable to enter Australia.
  • You are a student in Australia who is impacted by state or regional border closures.

Click on an offering mode for more details.

STAT4066 Bayesian Computing and Statistics

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1UWA (Perth)Face to face
Semester 1OnlineOnline timetabled
Content
This unit introduces concepts of Bayesian statistics and illustrates how to apply them to various areas of scientific research. Self-implemented algorithms and probabilistic programming languages (WinBugs, JAGS and/or Stan) are introduced, and the interfaces of the latter to the statistical computing and graphics environment R are discussed. Some computational aspects underlying these probabilistic programming languages are discussed to justify the framework of these algorithms. The algorithms are used, either directly or via their R interface, to fit statistical models within a Bayesian framework to real-world examples from many disciplines such as engineering, science (e.g. agricultural, biological, environmental, medical and physical), social sciences, economics, finance and astronomy.
Outcomes
Students are able to (1) understand concepts of Bayesian statistics; (2) fit Bayesian models to their data using modern probabilistic programming languages; (3) implementation of standard Bayesian models from first principles; (4) critically assess fitted models; and (5) interpret and communicate results of Bayesian data analyses.
Assessment
Indicative assessments in this unit are as follows: (1) assignments; (2) in-semester tests; and (3) a final examination. Further information is available in the unit outline.

Supplementary assessment is only available in this unit in the case of a student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course
Unit Coordinator(s)
Associate Professor Berwin Turlach
Unit rules
Prerequisites:
STAT1400 Statistics for Science or STAT1520 Economic and Business Statistics or MATH1012 Mathematical Theory and Methods or STAT2401 Analysis of Experiments (ID 390) or STAT2402 Analysis of Observations (ID 389)
Co-requisites:
Nil
Advisable prior study:
(STAT2401 Analysis of Experiments (ID 390) and STAT2402 Analysis of Observations (ID 389)) or STAT2062 Fundamentals of Probability with Applications (ID 5019)
Incompatibility:
STAT3405 Introduction to Bayesian Computing and Statistics
Contact hours
lectures: 2 hours per week; computer labs: 3 hours per fortnight; practical classes: 1 hour per fortnight
Note
Unit will be changed from Semester 1 to Semester 2 from 2022.
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.